12/16/2022 15:27:11 - WARNING - __main__ - Process rank: -1, device: cuda:0, n_gpu: 1distributed training: False, 16-bits training: True 12/16/2022 15:27:11 - INFO - __main__ - Training/evaluation parameters Seq2SeqTrainingArguments( _n_gpu=1, adafactor=False, adam_beta1=0.9, adam_beta2=0.999, adam_epsilon=1e-08, auto_find_batch_size=False, bf16=False, bf16_full_eval=False, data_seed=None, dataloader_drop_last=False, dataloader_num_workers=0, dataloader_pin_memory=True, ddp_bucket_cap_mb=None, ddp_find_unused_parameters=None, ddp_timeout=1800, debug=[], deepspeed=None, disable_tqdm=False, do_eval=True, do_predict=False, do_train=True, eval_accumulation_steps=None, eval_delay=0, eval_steps=500, evaluation_strategy=steps, fp16=True, fp16_backend=auto, fp16_full_eval=False, fp16_opt_level=O1, fsdp=[], fsdp_min_num_params=0, fsdp_transformer_layer_cls_to_wrap=None, full_determinism=False, generation_max_length=225, generation_num_beams=None, gradient_accumulation_steps=2, gradient_checkpointing=True, greater_is_better=False, group_by_length=False, half_precision_backend=auto, hub_model_id=None, hub_private_repo=False, hub_strategy=every_save, hub_token=, ignore_data_skip=False, include_inputs_for_metrics=False, jit_mode_eval=False, label_names=None, label_smoothing_factor=0.0, learning_rate=1e-05, length_column_name=input_length, load_best_model_at_end=True, local_rank=-1, log_level=passive, log_level_replica=passive, log_on_each_node=True, logging_dir=./runs/Dec16_15-27-11_129-146-67-7, logging_first_step=False, logging_nan_inf_filter=True, logging_steps=25, logging_strategy=steps, lr_scheduler_type=linear, max_grad_norm=1.0, max_steps=10000, metric_for_best_model=wer, mp_parameters=, no_cuda=False, num_train_epochs=3.0, optim=adamw_hf, optim_args=None, output_dir=./, overwrite_output_dir=True, past_index=-1, per_device_eval_batch_size=32, per_device_train_batch_size=32, predict_with_generate=True, prediction_loss_only=False, push_to_hub=True, push_to_hub_model_id=None, push_to_hub_organization=None, push_to_hub_token=, ray_scope=last, remove_unused_columns=True, report_to=['tensorboard'], resume_from_checkpoint=None, run_name=./, save_on_each_node=False, save_steps=1000, save_strategy=steps, save_total_limit=None, seed=42, sharded_ddp=[], skip_memory_metrics=True, sortish_sampler=False, tf32=None, torch_compile=False, torch_compile_backend=None, torch_compile_mode=None, torchdynamo=None, tpu_metrics_debug=False, tpu_num_cores=None, use_ipex=False, use_legacy_prediction_loop=False, use_mps_device=False, warmup_ratio=0.0, warmup_steps=500, weight_decay=0.0, xpu_backend=None, ) 12/16/2022 15:27:11 - INFO - __main__ - Training/evaluation parameters Seq2SeqTrainingArguments( _n_gpu=1, adafactor=False, adam_beta1=0.9, adam_beta2=0.999, adam_epsilon=1e-08, auto_find_batch_size=False, bf16=False, bf16_full_eval=False, data_seed=None, dataloader_drop_last=False, dataloader_num_workers=0, dataloader_pin_memory=True, ddp_bucket_cap_mb=None, ddp_find_unused_parameters=None, ddp_timeout=1800, debug=[], deepspeed=None, disable_tqdm=False, do_eval=True, do_predict=False, do_train=True, eval_accumulation_steps=None, eval_delay=0, eval_steps=500, evaluation_strategy=steps, fp16=True, fp16_backend=auto, fp16_full_eval=False, fp16_opt_level=O1, fsdp=[], fsdp_min_num_params=0, fsdp_transformer_layer_cls_to_wrap=None, full_determinism=False, generation_max_length=225, generation_num_beams=None, gradient_accumulation_steps=2, gradient_checkpointing=True, greater_is_better=False, group_by_length=False, half_precision_backend=auto, hub_model_id=None, hub_private_repo=False, hub_strategy=every_save, hub_token=, ignore_data_skip=False, include_inputs_for_metrics=False, jit_mode_eval=False, label_names=None, label_smoothing_factor=0.0, learning_rate=1e-05, length_column_name=input_length, load_best_model_at_end=True, local_rank=-1, log_level=passive, log_level_replica=passive, log_on_each_node=True, logging_dir=./runs/Dec16_15-27-11_129-146-67-7, logging_first_step=False, logging_nan_inf_filter=True, logging_steps=25, logging_strategy=steps, lr_scheduler_type=linear, max_grad_norm=1.0, max_steps=10000, metric_for_best_model=wer, mp_parameters=, no_cuda=False, num_train_epochs=3.0, optim=adamw_hf, optim_args=None, output_dir=./, overwrite_output_dir=True, past_index=-1, per_device_eval_batch_size=32, per_device_train_batch_size=32, predict_with_generate=True, prediction_loss_only=False, push_to_hub=True, push_to_hub_model_id=None, push_to_hub_organization=None, push_to_hub_token=, ray_scope=last, remove_unused_columns=True, report_to=['tensorboard'], resume_from_checkpoint=None, run_name=./, save_on_each_node=False, save_steps=1000, save_strategy=steps, save_total_limit=None, seed=42, sharded_ddp=[], skip_memory_metrics=True, sortish_sampler=False, tf32=None, torch_compile=False, torch_compile_backend=None, torch_compile_mode=None, torchdynamo=None, tpu_metrics_debug=False, tpu_num_cores=None, use_ipex=False, use_legacy_prediction_loop=False, use_mps_device=False, warmup_ratio=0.0, warmup_steps=500, weight_decay=0.0, xpu_backend=None, ) 12/16/2022 15:27:12 - INFO - datasets.builder - No config specified, defaulting to the single config: samromur_asr/samromur_asr 12/16/2022 15:27:12 - INFO - datasets.info - Loading Dataset Infos from /home/ubuntu/.cache/huggingface/modules/datasets_modules/datasets/language-and-voice-lab--samromur_asr/9f4b7a0674ad04192814f8e840dbdab23e8c4531498341198a39447a7e64e3b7 language-and-voice-lab/samromur_asr None train 2 12/16/2022 15:27:14 - INFO - datasets.builder - No config specified, defaulting to the single config: althingi_asr/althingi_asr 12/16/2022 15:27:14 - INFO - datasets.info - Loading Dataset Infos from /home/ubuntu/.cache/huggingface/modules/datasets_modules/datasets/language-and-voice-lab--althingi_asr/4fdbd9c08f7d073eeb89906cb5aa0e1e6bab822aa994474c639f8e8442a61bcf language-and-voice-lab/althingi_asr None train 13 12/16/2022 15:27:16 - INFO - datasets.builder - No config specified, defaulting to the single config: malromur_asr/malromur_asr 12/16/2022 15:27:16 - INFO - datasets.info - Loading Dataset Infos from /home/ubuntu/.cache/huggingface/modules/datasets_modules/datasets/language-and-voice-lab--malromur_asr/5084bd18db918163bfb6f3f09550dff5c0106bfc56985978e6f682f52690816d language-and-voice-lab/malromur_asr None train 2 12/16/2022 15:27:18 - INFO - datasets.builder - No config specified, defaulting to the single config: samromur_children/samromur_children 12/16/2022 15:27:18 - INFO - datasets.info - Loading Dataset Infos from /home/ubuntu/.cache/huggingface/modules/datasets_modules/datasets/language-and-voice-lab--samromur_children/0cde4367323adbaea6845954c908aec8bcd001520628d49577421d0776d9939d language-and-voice-lab/samromur_children None train 3 12/16/2022 15:27:20 - INFO - datasets.builder - No config specified, defaulting to the single config: raddromur_asr/raddromur_asr 12/16/2022 15:27:20 - INFO - datasets.info - Loading Dataset Infos from /home/ubuntu/.cache/huggingface/modules/datasets_modules/datasets/language-and-voice-lab--raddromur_asr/ad967117dc1846f4100ee0ecfc31859ea6743068904a5ee705ebc400b10c49d7 language-and-voice-lab/raddromur_asr None train 1 12/16/2022 15:27:22 - INFO - datasets.builder - No config specified, defaulting to the single config: samromur_asr/samromur_asr 12/16/2022 15:27:22 - INFO - datasets.info - Loading Dataset Infos from /home/ubuntu/.cache/huggingface/modules/datasets_modules/datasets/language-and-voice-lab--samromur_asr/9f4b7a0674ad04192814f8e840dbdab23e8c4531498341198a39447a7e64e3b7 [INFO|configuration_utils.py:654] 2022-12-16 15:27:23,444 >> loading configuration file config.json from cache at /home/ubuntu/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/a0b3589e1034234495a1b696c28d4832cdaf8a32/config.json [INFO|configuration_utils.py:706] 2022-12-16 15:27:23,448 >> Model config WhisperConfig { "_name_or_path": "openai/whisper-medium", "activation_dropout": 0.0, "activation_function": "gelu", "architectures": [ "WhisperForConditionalGeneration" ], "attention_dropout": 0.0, "begin_suppress_tokens": [ 220, 50257 ], "bos_token_id": 50257, "d_model": 1024, "decoder_attention_heads": 16, "decoder_ffn_dim": 4096, "decoder_layerdrop": 0.0, "decoder_layers": 24, "decoder_start_token_id": 50258, "dropout": 0.0, "encoder_attention_heads": 16, "encoder_ffn_dim": 4096, "encoder_layerdrop": 0.0, "encoder_layers": 24, "eos_token_id": 50257, "forced_decoder_ids": [ [ 1, 50259 ], [ 2, 50359 ], [ 3, 50363 ] ], "init_std": 0.02, "is_encoder_decoder": true, "max_length": 448, "max_source_positions": 1500, "max_target_positions": 448, "model_type": "whisper", "num_hidden_layers": 24, "num_mel_bins": 80, "pad_token_id": 50257, "scale_embedding": false, "suppress_tokens": [ 1, 2, 7, 8, 9, 10, 14, 25, 26, 27, 28, 29, 31, 58, 59, 60, 61, 62, 63, 90, 91, 92, 93, 359, 503, 522, 542, 873, 893, 902, 918, 922, 931, 1350, 1853, 1982, 2460, 2627, 3246, 3253, 3268, 3536, 3846, 3961, 4183, 4667, 6585, 6647, 7273, 9061, 9383, 10428, 10929, 11938, 12033, 12331, 12562, 13793, 14157, 14635, 15265, 15618, 16553, 16604, 18362, 18956, 20075, 21675, 22520, 26130, 26161, 26435, 28279, 29464, 31650, 32302, 32470, 36865, 42863, 47425, 49870, 50254, 50258, 50360, 50361, 50362 ], "torch_dtype": "float32", "transformers_version": "4.26.0.dev0", "use_cache": true, "vocab_size": 51865 } [INFO|feature_extraction_utils.py:464] 2022-12-16 15:27:23,687 >> loading configuration file preprocessor_config.json from cache at /home/ubuntu/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/a0b3589e1034234495a1b696c28d4832cdaf8a32/preprocessor_config.json [INFO|feature_extraction_utils.py:501] 2022-12-16 15:27:23,703 >> Feature extractor WhisperFeatureExtractor { "chunk_length": 30, "feature_extractor_type": "WhisperFeatureExtractor", "feature_size": 80, "hop_length": 160, "mel_filters": [ [ -0.0, 0.02486259490251541, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.001990821911022067, 0.022871771827340126, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.003981643822044134, 0.02088095061480999, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0059724655002355576, 0.018890129402279854, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.007963287644088268, 0.01689930632710457, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.009954108856618404, 0.014908484183251858, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.011944931000471115, 0.012917662039399147, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.013935752213001251, 0.010926840826869011, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.015926575288176537, 0.0089360186830163, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.017917396500706673, 0.006945197004824877, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01990821771323681, 0.004954374860972166, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.021899040788412094, 0.0029635531827807426, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.02388986200094223, 0.0009727313299663365, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.025880683213472366, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.025835324078798294, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0010180906392633915, 0.023844502866268158, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.003008912317454815, 0.021853681653738022, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004999734461307526, 0.019862858578562737, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.006990555673837662, 0.0178720373660326, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.008981377817690372, 0.015881216153502464, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.010972199961543083, 0.013890394009649754, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01296302117407322, 0.011899571865797043, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01495384331792593, 0.009908749721944332, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01694466546177864, 0.007917927578091621, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.018935488536953926, 0.005927106365561485, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.020874010398983955, 0.004040425643324852, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.022114217281341553, 0.0033186059445142746, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.02173672430217266, 0.0036109676584601402, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.020497702062129974, 0.004762193653732538, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.018486659973859787, 0.006592618301510811, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01585603691637516, 0.00896277092397213, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.012738768011331558, 0.011751330457627773, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.009250369854271412, 0.014853144995868206, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005490840878337622, 0.018177473917603493, 0.0028155462350696325, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0015463664894923568, 0.01632951945066452, 0.007420188747346401, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.011181050911545753, 0.012018864043056965, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.006065350491553545, 0.016561277210712433, 0.004360878840088844, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0010297985281795263, 0.012770536355674267, 0.009707189165055752, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.006986402906477451, 0.01485429983586073, 0.004391219466924667, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.001418047584593296, 0.011486922390758991, 0.010089744813740253, 0.00040022286702878773, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005411104764789343, 0.014735566452145576, 0.006518189795315266, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00827841367572546, 0.012277561239898205, 0.00396781275048852, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.002187808509916067, 0.010184479877352715, 0.00998187530785799, 0.0022864851634949446, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00386943481862545, 0.011274894699454308, 0.008466221392154694, 0.0013397691072896123, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004820294212549925, 0.011678251437842846, 0.007608682848513126, 0.0010091039584949613, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005156961735337973, 0.011507894843816757, 0.007301822770386934, 0.0011901655234396458, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004982104524970055, 0.010863498784601688, 0.007451189681887627, 0.001791381393559277, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004385921638458967, 0.009832492098212242, 0.007973956875503063, 0.002732589840888977, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0034474546555429697, 0.008491347543895245, 0.008797688409686089, 0.00394382793456316, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0022357646375894547, 0.0069067515432834625, 0.009859241545200348, 0.005364237818866968, 0.0008692338014952838, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0008110002381727099, 0.005136650986969471, 0.00946230161935091, 0.0069410777650773525, 0.0027783995028585196, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.003231203882023692, 0.007237049750983715, 0.00862883497029543, 0.004773912951350212, 0.0009189908159896731, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.001233637798577547, 0.0049433219246566296, 0.008653006516397, 0.006818502210080624, 0.003248583758249879, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0026164355222135782, 0.006051854696124792, 0.008880467154085636, 0.005574479699134827, 0.002268492942675948, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0002863667905330658, 0.003467798000201583, 0.0066492292098701, 0.00787146482616663, 0.004809896927326918, 0.0017483289120718837, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0009245910914614797, 0.0038708120118826628, 0.00681703258305788, 0.007283343467861414, 0.004448124207556248, 0.0016129047144204378, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0011703289346769452, 0.003898728871718049, 0.006627128925174475, 0.0070473202504217625, 0.004421714693307877, 0.0017961094854399562, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0010892992140725255, 0.003615982597693801, 0.006142666097730398, 0.007102936040610075, 0.004671447444707155, 0.002239959081634879, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0007392280967906117, 0.0030791081953793764, 0.005418988410383463, 0.007397185545414686, 0.005145462695509195, 0.002893739379942417, 0.0006420162972062826, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00017068670422304422, 0.0023375742603093386, 0.004504461772739887, 0.0066713495180010796, 0.005798479542136192, 0.003713231300935149, 0.0016279831761494279, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0014345343224704266, 0.0034412189852446318, 0.005447904113680124, 0.006591092795133591, 0.004660011734813452, 0.002728930441662669, 0.0007978491485118866, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0004075043834745884, 0.002265830524265766, 0.004124156199395657, 0.005982482805848122, 0.005700822453945875, 0.003912510350346565, 0.0021241982467472553, 0.0003358862304594368, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0010099108330905437, 0.002730846870690584, 0.004451782442629337, 0.006172718480229378, 0.005150905344635248, 0.0034948070533573627, 0.0018387088784947991, 0.0001826105872169137, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0012943691108375788, 0.002888072282075882, 0.004481775686144829, 0.006075479090213776, 0.0048866597935557365, 0.003353001084178686, 0.0018193417927250266, 0.00028568264679051936, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0013131388695910573, 0.0027890161145478487, 0.004264893010258675, 0.0057407706044614315, 0.004859979264438152, 0.0034397069830447435, 0.0020194342359900475, 0.0005991620710119605, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0011121684219688177, 0.002478930866345763, 0.0038456933107227087, 0.0052124555222690105, 0.005028639920055866, 0.0037133716978132725, 0.002398103242740035, 0.0010828346712514758, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0007317548734135926, 0.0019974694587290287, 0.003263183869421482, 0.004528898745775223, 0.005355686880648136, 0.004137659445405006, 0.0029196315445005894, 0.0017016039928421378, 0.0004835762665607035, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00020713974663522094, 0.0013792773243039846, 0.0025514145381748676, 0.003723552217707038, 0.004895689897239208, 0.004680895246565342, 0.0035529187880456448, 0.0024249425623565912, 0.0012969663366675377, 0.00016899015463422984, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0006545265205204487, 0.0017400053329765797, 0.0028254841454327106, 0.003910962492227554, 0.004996441304683685, 0.0042709787376224995, 0.003226396394893527, 0.002181813819333911, 0.0011372314766049385, 9.264905384043232e-05, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.000854626705404371, 0.001859853626228869, 0.002865080488845706, 0.003870307235047221, 0.00487553421407938, 0.00408313749358058, 0.003115783678367734, 0.0021484296303242445, 0.001181075582280755, 0.0002137213887181133, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0008483415003865957, 0.0017792496364563704, 0.0027101580053567886, 0.0036410661414265633, 0.004571974277496338, 0.004079728852957487, 0.003183893393725157, 0.002288057701662183, 0.0013922222424298525, 0.0004963868414051831, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0006716204807162285, 0.0015337044605985284, 0.002395788673311472, 0.0032578727696090937, 0.004119956865906715, 0.004227725323289633, 0.0033981208689510822, 0.0025685166474431753, 0.0017389123095199466, 0.0009093079133890569, 7.970355363795534e-05, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0003559796023182571, 0.0011543278815224767, 0.0019526762189343572, 0.002751024439930916, 0.0035493727773427963, 0.004347721114754677, 0.0037299629766494036, 0.002961693098768592, 0.00219342322088778, 0.0014251532265916467, 0.0006568834069184959, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0006682946113869548, 0.0014076193328946829, 0.0021469437051564455, 0.002886268775910139, 0.0036255933810025454, 0.004154576454311609, 0.0034431067761033773, 0.0027316368650645018, 0.0020201667211949825, 0.0013086966937407851, 0.0005972267827019095, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 9.926508937496692e-05, 0.0007839298341423273, 0.001468594535253942, 0.0021532592363655567, 0.0028379240538924932, 0.0035225888714194298, 0.0039915177039802074, 0.0033326479606330395, 0.002673778682947159, 0.002014909405261278, 0.0013560398947447538, 0.0006971705006435513, 3.8301113818306476e-05, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00010181095422012731, 0.0007358568836934865, 0.0013699028640985489, 0.0020039486698806286, 0.002637994708493352, 0.0032720407471060753, 0.003906086552888155, 0.0033682563807815313, 0.0027580985333770514, 0.002147940918803215, 0.0015377833042293787, 0.0009276255150325596, 0.000317467754939571, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0005530364578589797, 0.0011402058880776167, 0.0017273754347115755, 0.0023145449813455343, 0.002901714527979493, 0.003488884074613452, 0.003523340215906501, 0.002958292607218027, 0.002393245231360197, 0.0018281979719176888, 0.001263150479644537, 0.0006981031037867069, 0.0001330557424807921, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0002608386566862464, 0.0008045974536798894, 0.0013483562506735325, 0.0018921148730441928, 0.0024358737282454967, 0.002979632467031479, 0.003523391205817461, 0.003251380519941449, 0.0027281083166599274, 0.002204835880547762, 0.001681563793681562, 0.001158291706815362, 0.0006350195035338402, 0.00011174729297636077, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0003849811910185963, 0.0008885387214832008, 0.001392096164636314, 0.0018956535495817661, 0.00239921105094254, 0.002902768552303314, 0.0034063260536640882, 0.003132763085886836, 0.0026481777895241976, 0.0021635922603309155, 0.0016790067311376333, 0.0011944210855290294, 0.0007098356145434082, 0.00022525011445395648, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.000366741674952209, 0.0008330700220540166, 0.0012993983691558242, 0.0017657268326729536, 0.0022320549469441175, 0.002698383294045925, 0.0031647118739783764, 0.003141313325613737, 0.002692554146051407, 0.0022437951993197203, 0.00179503601975739, 0.0013462770730257034, 0.000897518009878695, 0.0004487590049393475, 0.0 ] ], "n_fft": 400, "n_samples": 480000, "nb_max_frames": 3000, "padding_side": "right", "padding_value": 0.0, "processor_class": "WhisperProcessor", "return_attention_mask": false, "sampling_rate": 16000 } [INFO|tokenization_utils_base.py:1799] 2022-12-16 15:27:23,942 >> loading file vocab.json from cache at /home/ubuntu/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/a0b3589e1034234495a1b696c28d4832cdaf8a32/vocab.json [INFO|tokenization_utils_base.py:1799] 2022-12-16 15:27:23,942 >> loading file tokenizer.json from cache at None [INFO|tokenization_utils_base.py:1799] 2022-12-16 15:27:23,942 >> loading file merges.txt from cache at /home/ubuntu/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/a0b3589e1034234495a1b696c28d4832cdaf8a32/merges.txt [INFO|tokenization_utils_base.py:1799] 2022-12-16 15:27:23,942 >> loading file normalizer.json from cache at /home/ubuntu/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/a0b3589e1034234495a1b696c28d4832cdaf8a32/normalizer.json [INFO|tokenization_utils_base.py:1799] 2022-12-16 15:27:23,942 >> loading file added_tokens.json from cache at /home/ubuntu/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/a0b3589e1034234495a1b696c28d4832cdaf8a32/added_tokens.json [INFO|tokenization_utils_base.py:1799] 2022-12-16 15:27:23,942 >> loading file special_tokens_map.json from cache at /home/ubuntu/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/a0b3589e1034234495a1b696c28d4832cdaf8a32/special_tokens_map.json [INFO|tokenization_utils_base.py:1799] 2022-12-16 15:27:23,942 >> loading file tokenizer_config.json from cache at /home/ubuntu/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/a0b3589e1034234495a1b696c28d4832cdaf8a32/tokenizer_config.json [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,004 >> Adding <|endoftext|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,004 >> Adding <|startoftranscript|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,004 >> Adding <|en|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,004 >> Adding <|zh|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,004 >> Adding <|de|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,004 >> Adding <|es|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,004 >> Adding <|ru|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,004 >> Adding <|ko|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,004 >> Adding <|fr|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,004 >> Adding <|ja|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,004 >> Adding <|pt|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,004 >> Adding <|tr|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,005 >> Adding <|pl|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,005 >> Adding <|ca|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,005 >> Adding <|nl|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,005 >> Adding <|ar|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,005 >> Adding <|sv|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,005 >> Adding <|it|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,005 >> Adding <|id|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,005 >> Adding <|hi|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,005 >> Adding <|fi|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,005 >> Adding <|vi|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,005 >> Adding <|iw|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,005 >> Adding <|uk|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,005 >> Adding <|el|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,005 >> Adding <|ms|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,005 >> Adding <|cs|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,005 >> Adding <|ro|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,005 >> Adding <|da|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,005 >> Adding <|hu|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,005 >> Adding <|ta|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,005 >> Adding <|no|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,005 >> Adding <|th|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,005 >> Adding <|ur|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,005 >> Adding <|hr|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,005 >> Adding <|bg|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,005 >> Adding <|lt|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,005 >> Adding <|la|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,005 >> Adding <|mi|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,005 >> Adding <|ml|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,005 >> Adding <|cy|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,005 >> Adding <|sk|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,006 >> Adding <|te|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,006 >> Adding <|fa|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,006 >> Adding <|lv|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,006 >> Adding <|bn|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,006 >> Adding <|sr|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,006 >> Adding <|az|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,006 >> Adding <|sl|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,006 >> Adding <|kn|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,006 >> Adding <|et|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,006 >> Adding <|mk|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,006 >> Adding <|br|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,006 >> Adding <|eu|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,006 >> Adding <|is|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,006 >> Adding <|hy|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,006 >> Adding <|ne|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,006 >> Adding <|mn|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,006 >> Adding <|bs|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,006 >> Adding <|kk|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,006 >> Adding <|sq|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,006 >> Adding <|sw|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,006 >> Adding <|gl|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,006 >> Adding <|mr|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,006 >> Adding <|pa|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,006 >> Adding <|si|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,006 >> Adding <|km|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,006 >> Adding <|sn|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,006 >> Adding <|yo|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,006 >> Adding <|so|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,006 >> Adding <|af|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,006 >> Adding <|oc|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,006 >> Adding <|ka|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,007 >> Adding <|be|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,007 >> Adding <|tg|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,007 >> Adding <|sd|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,007 >> Adding <|gu|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,007 >> Adding <|am|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,007 >> Adding <|yi|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,007 >> Adding <|lo|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,007 >> Adding <|uz|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,007 >> Adding <|fo|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,007 >> Adding <|ht|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,007 >> Adding <|ps|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,007 >> Adding <|tk|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,007 >> Adding <|nn|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,007 >> Adding <|mt|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,007 >> Adding <|sa|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,007 >> Adding <|lb|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,007 >> Adding <|my|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,007 >> Adding <|bo|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,007 >> Adding <|tl|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,007 >> Adding <|mg|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,007 >> Adding <|as|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,007 >> Adding <|tt|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,007 >> Adding <|haw|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,007 >> Adding <|ln|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,007 >> Adding <|ha|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,007 >> Adding <|ba|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,007 >> Adding <|jw|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,007 >> Adding <|su|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,007 >> Adding <|translate|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,007 >> Adding <|transcribe|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,008 >> Adding <|startoflm|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,008 >> Adding <|startofprev|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,008 >> Adding <|nocaptions|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:24,008 >> Adding <|notimestamps|> to the vocabulary [INFO|modeling_utils.py:2251] 2022-12-16 15:27:24,011 >> loading weights file pytorch_model.bin from cache at /home/ubuntu/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/a0b3589e1034234495a1b696c28d4832cdaf8a32/pytorch_model.bin [INFO|modeling_utils.py:2806] 2022-12-16 15:27:32,532 >> All model checkpoint weights were used when initializing WhisperForConditionalGeneration. [INFO|modeling_utils.py:2814] 2022-12-16 15:27:32,532 >> All the weights of WhisperForConditionalGeneration were initialized from the model checkpoint at openai/whisper-medium. If your task is similar to the task the model of the checkpoint was trained on, you can already use WhisperForConditionalGeneration for predictions without further training. [INFO|feature_extraction_utils.py:368] 2022-12-16 15:27:34,676 >> Feature extractor saved in ./preprocessor_config.json [INFO|tokenization_utils_base.py:2157] 2022-12-16 15:27:34,676 >> tokenizer config file saved in ./tokenizer_config.json [INFO|tokenization_utils_base.py:2164] 2022-12-16 15:27:34,676 >> Special tokens file saved in ./special_tokens_map.json [INFO|tokenization_utils_base.py:2210] 2022-12-16 15:27:34,677 >> added tokens file saved in ./added_tokens.json [INFO|configuration_utils.py:447] 2022-12-16 15:27:34,758 >> Configuration saved in ./config.json [INFO|image_processing_utils.py:294] 2022-12-16 15:27:34,760 >> loading configuration file ./preprocessor_config.json [INFO|feature_extraction_utils.py:462] 2022-12-16 15:27:34,765 >> loading configuration file ./preprocessor_config.json [INFO|feature_extraction_utils.py:501] 2022-12-16 15:27:34,780 >> Feature extractor WhisperFeatureExtractor { "chunk_length": 30, "feature_extractor_type": "WhisperFeatureExtractor", "feature_size": 80, "hop_length": 160, "mel_filters": [ [ -0.0, 0.02486259490251541, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.001990821911022067, 0.022871771827340126, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.003981643822044134, 0.02088095061480999, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0059724655002355576, 0.018890129402279854, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.007963287644088268, 0.01689930632710457, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.009954108856618404, 0.014908484183251858, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.011944931000471115, 0.012917662039399147, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.013935752213001251, 0.010926840826869011, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.015926575288176537, 0.0089360186830163, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.017917396500706673, 0.006945197004824877, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01990821771323681, 0.004954374860972166, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.021899040788412094, 0.0029635531827807426, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.02388986200094223, 0.0009727313299663365, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.025880683213472366, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.025835324078798294, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0010180906392633915, 0.023844502866268158, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.003008912317454815, 0.021853681653738022, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004999734461307526, 0.019862858578562737, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.006990555673837662, 0.0178720373660326, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.008981377817690372, 0.015881216153502464, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.010972199961543083, 0.013890394009649754, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01296302117407322, 0.011899571865797043, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01495384331792593, 0.009908749721944332, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01694466546177864, 0.007917927578091621, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.018935488536953926, 0.005927106365561485, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.020874010398983955, 0.004040425643324852, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.022114217281341553, 0.0033186059445142746, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.02173672430217266, 0.0036109676584601402, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.020497702062129974, 0.004762193653732538, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.018486659973859787, 0.006592618301510811, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01585603691637516, 0.00896277092397213, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.012738768011331558, 0.011751330457627773, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.009250369854271412, 0.014853144995868206, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005490840878337622, 0.018177473917603493, 0.0028155462350696325, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0015463664894923568, 0.01632951945066452, 0.007420188747346401, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.011181050911545753, 0.012018864043056965, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.006065350491553545, 0.016561277210712433, 0.004360878840088844, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0010297985281795263, 0.012770536355674267, 0.009707189165055752, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.006986402906477451, 0.01485429983586073, 0.004391219466924667, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.001418047584593296, 0.011486922390758991, 0.010089744813740253, 0.00040022286702878773, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005411104764789343, 0.014735566452145576, 0.006518189795315266, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00827841367572546, 0.012277561239898205, 0.00396781275048852, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.002187808509916067, 0.010184479877352715, 0.00998187530785799, 0.0022864851634949446, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00386943481862545, 0.011274894699454308, 0.008466221392154694, 0.0013397691072896123, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004820294212549925, 0.011678251437842846, 0.007608682848513126, 0.0010091039584949613, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005156961735337973, 0.011507894843816757, 0.007301822770386934, 0.0011901655234396458, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004982104524970055, 0.010863498784601688, 0.007451189681887627, 0.001791381393559277, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004385921638458967, 0.009832492098212242, 0.007973956875503063, 0.002732589840888977, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0034474546555429697, 0.008491347543895245, 0.008797688409686089, 0.00394382793456316, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0022357646375894547, 0.0069067515432834625, 0.009859241545200348, 0.005364237818866968, 0.0008692338014952838, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0008110002381727099, 0.005136650986969471, 0.00946230161935091, 0.0069410777650773525, 0.0027783995028585196, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.003231203882023692, 0.007237049750983715, 0.00862883497029543, 0.004773912951350212, 0.0009189908159896731, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.001233637798577547, 0.0049433219246566296, 0.008653006516397, 0.006818502210080624, 0.003248583758249879, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0026164355222135782, 0.006051854696124792, 0.008880467154085636, 0.005574479699134827, 0.002268492942675948, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0002863667905330658, 0.003467798000201583, 0.0066492292098701, 0.00787146482616663, 0.004809896927326918, 0.0017483289120718837, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0009245910914614797, 0.0038708120118826628, 0.00681703258305788, 0.007283343467861414, 0.004448124207556248, 0.0016129047144204378, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0011703289346769452, 0.003898728871718049, 0.006627128925174475, 0.0070473202504217625, 0.004421714693307877, 0.0017961094854399562, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0010892992140725255, 0.003615982597693801, 0.006142666097730398, 0.007102936040610075, 0.004671447444707155, 0.002239959081634879, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0007392280967906117, 0.0030791081953793764, 0.005418988410383463, 0.007397185545414686, 0.005145462695509195, 0.002893739379942417, 0.0006420162972062826, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00017068670422304422, 0.0023375742603093386, 0.004504461772739887, 0.0066713495180010796, 0.005798479542136192, 0.003713231300935149, 0.0016279831761494279, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0014345343224704266, 0.0034412189852446318, 0.005447904113680124, 0.006591092795133591, 0.004660011734813452, 0.002728930441662669, 0.0007978491485118866, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0004075043834745884, 0.002265830524265766, 0.004124156199395657, 0.005982482805848122, 0.005700822453945875, 0.003912510350346565, 0.0021241982467472553, 0.0003358862304594368, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0010099108330905437, 0.002730846870690584, 0.004451782442629337, 0.006172718480229378, 0.005150905344635248, 0.0034948070533573627, 0.0018387088784947991, 0.0001826105872169137, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0012943691108375788, 0.002888072282075882, 0.004481775686144829, 0.006075479090213776, 0.0048866597935557365, 0.003353001084178686, 0.0018193417927250266, 0.00028568264679051936, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0013131388695910573, 0.0027890161145478487, 0.004264893010258675, 0.0057407706044614315, 0.004859979264438152, 0.0034397069830447435, 0.0020194342359900475, 0.0005991620710119605, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0011121684219688177, 0.002478930866345763, 0.0038456933107227087, 0.0052124555222690105, 0.005028639920055866, 0.0037133716978132725, 0.002398103242740035, 0.0010828346712514758, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0007317548734135926, 0.0019974694587290287, 0.003263183869421482, 0.004528898745775223, 0.005355686880648136, 0.004137659445405006, 0.0029196315445005894, 0.0017016039928421378, 0.0004835762665607035, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00020713974663522094, 0.0013792773243039846, 0.0025514145381748676, 0.003723552217707038, 0.004895689897239208, 0.004680895246565342, 0.0035529187880456448, 0.0024249425623565912, 0.0012969663366675377, 0.00016899015463422984, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0006545265205204487, 0.0017400053329765797, 0.0028254841454327106, 0.003910962492227554, 0.004996441304683685, 0.0042709787376224995, 0.003226396394893527, 0.002181813819333911, 0.0011372314766049385, 9.264905384043232e-05, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.000854626705404371, 0.001859853626228869, 0.002865080488845706, 0.003870307235047221, 0.00487553421407938, 0.00408313749358058, 0.003115783678367734, 0.0021484296303242445, 0.001181075582280755, 0.0002137213887181133, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0008483415003865957, 0.0017792496364563704, 0.0027101580053567886, 0.0036410661414265633, 0.004571974277496338, 0.004079728852957487, 0.003183893393725157, 0.002288057701662183, 0.0013922222424298525, 0.0004963868414051831, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0006716204807162285, 0.0015337044605985284, 0.002395788673311472, 0.0032578727696090937, 0.004119956865906715, 0.004227725323289633, 0.0033981208689510822, 0.0025685166474431753, 0.0017389123095199466, 0.0009093079133890569, 7.970355363795534e-05, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0003559796023182571, 0.0011543278815224767, 0.0019526762189343572, 0.002751024439930916, 0.0035493727773427963, 0.004347721114754677, 0.0037299629766494036, 0.002961693098768592, 0.00219342322088778, 0.0014251532265916467, 0.0006568834069184959, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0006682946113869548, 0.0014076193328946829, 0.0021469437051564455, 0.002886268775910139, 0.0036255933810025454, 0.004154576454311609, 0.0034431067761033773, 0.0027316368650645018, 0.0020201667211949825, 0.0013086966937407851, 0.0005972267827019095, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 9.926508937496692e-05, 0.0007839298341423273, 0.001468594535253942, 0.0021532592363655567, 0.0028379240538924932, 0.0035225888714194298, 0.0039915177039802074, 0.0033326479606330395, 0.002673778682947159, 0.002014909405261278, 0.0013560398947447538, 0.0006971705006435513, 3.8301113818306476e-05, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00010181095422012731, 0.0007358568836934865, 0.0013699028640985489, 0.0020039486698806286, 0.002637994708493352, 0.0032720407471060753, 0.003906086552888155, 0.0033682563807815313, 0.0027580985333770514, 0.002147940918803215, 0.0015377833042293787, 0.0009276255150325596, 0.000317467754939571, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0005530364578589797, 0.0011402058880776167, 0.0017273754347115755, 0.0023145449813455343, 0.002901714527979493, 0.003488884074613452, 0.003523340215906501, 0.002958292607218027, 0.002393245231360197, 0.0018281979719176888, 0.001263150479644537, 0.0006981031037867069, 0.0001330557424807921, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0002608386566862464, 0.0008045974536798894, 0.0013483562506735325, 0.0018921148730441928, 0.0024358737282454967, 0.002979632467031479, 0.003523391205817461, 0.003251380519941449, 0.0027281083166599274, 0.002204835880547762, 0.001681563793681562, 0.001158291706815362, 0.0006350195035338402, 0.00011174729297636077, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0003849811910185963, 0.0008885387214832008, 0.001392096164636314, 0.0018956535495817661, 0.00239921105094254, 0.002902768552303314, 0.0034063260536640882, 0.003132763085886836, 0.0026481777895241976, 0.0021635922603309155, 0.0016790067311376333, 0.0011944210855290294, 0.0007098356145434082, 0.00022525011445395648, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.000366741674952209, 0.0008330700220540166, 0.0012993983691558242, 0.0017657268326729536, 0.0022320549469441175, 0.002698383294045925, 0.0031647118739783764, 0.003141313325613737, 0.002692554146051407, 0.0022437951993197203, 0.00179503601975739, 0.0013462770730257034, 0.000897518009878695, 0.0004487590049393475, 0.0 ] ], "n_fft": 400, "n_samples": 480000, "nb_max_frames": 3000, "padding_side": "right", "padding_value": 0.0, "processor_class": "WhisperProcessor", "return_attention_mask": false, "sampling_rate": 16000 } [INFO|tokenization_utils_base.py:1797] 2022-12-16 15:27:34,780 >> loading file vocab.json [INFO|tokenization_utils_base.py:1797] 2022-12-16 15:27:34,780 >> loading file tokenizer.json [INFO|tokenization_utils_base.py:1797] 2022-12-16 15:27:34,780 >> loading file merges.txt [INFO|tokenization_utils_base.py:1797] 2022-12-16 15:27:34,780 >> loading file normalizer.json [INFO|tokenization_utils_base.py:1797] 2022-12-16 15:27:34,780 >> loading file added_tokens.json [INFO|tokenization_utils_base.py:1797] 2022-12-16 15:27:34,780 >> loading file special_tokens_map.json [INFO|tokenization_utils_base.py:1797] 2022-12-16 15:27:34,780 >> loading file tokenizer_config.json [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,835 >> Adding <|endoftext|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,835 >> Adding <|startoftranscript|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,835 >> Adding <|en|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,835 >> Adding <|zh|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,835 >> Adding <|de|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,835 >> Adding <|es|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,835 >> Adding <|ru|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,835 >> Adding <|ko|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,835 >> Adding <|fr|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,835 >> Adding <|ja|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,835 >> Adding <|pt|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,835 >> Adding <|tr|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,835 >> Adding <|pl|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,835 >> Adding <|ca|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,835 >> Adding <|nl|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,835 >> Adding <|ar|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,835 >> Adding <|sv|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,835 >> Adding <|it|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,835 >> Adding <|id|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,835 >> Adding <|hi|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,835 >> Adding <|fi|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,835 >> Adding <|vi|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,835 >> Adding <|iw|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,835 >> Adding <|uk|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,835 >> Adding <|el|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,835 >> Adding <|ms|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,836 >> Adding <|cs|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,836 >> Adding <|ro|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,836 >> Adding <|da|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,836 >> Adding <|hu|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,836 >> Adding <|ta|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,836 >> Adding <|no|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,836 >> Adding <|th|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,836 >> Adding <|ur|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,836 >> Adding <|hr|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,836 >> Adding <|bg|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,836 >> Adding <|lt|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,836 >> Adding <|la|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,836 >> Adding <|mi|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,836 >> Adding <|ml|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,836 >> Adding <|cy|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,836 >> Adding <|sk|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,836 >> Adding <|te|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,836 >> Adding <|fa|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,836 >> Adding <|lv|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,836 >> Adding <|bn|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,836 >> Adding <|sr|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,836 >> Adding <|az|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,836 >> Adding <|sl|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,836 >> Adding <|kn|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,836 >> Adding <|et|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,836 >> Adding <|mk|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,836 >> Adding <|br|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,836 >> Adding <|eu|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,836 >> Adding <|is|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,837 >> Adding <|hy|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,837 >> Adding <|ne|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,837 >> Adding <|mn|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,837 >> Adding <|bs|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,837 >> Adding <|kk|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,837 >> Adding <|sq|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,837 >> Adding <|sw|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,837 >> Adding <|gl|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,837 >> Adding <|mr|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,837 >> Adding <|pa|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,837 >> Adding <|si|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,837 >> Adding <|km|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,837 >> Adding <|sn|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,837 >> Adding <|yo|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,837 >> Adding <|so|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,837 >> Adding <|af|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,837 >> Adding <|oc|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,837 >> Adding <|ka|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,837 >> Adding <|be|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,837 >> Adding <|tg|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,837 >> Adding <|sd|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,837 >> Adding <|gu|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,837 >> Adding <|am|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,837 >> Adding <|yi|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,837 >> Adding <|lo|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,837 >> Adding <|uz|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,837 >> Adding <|fo|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,837 >> Adding <|ht|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,837 >> Adding <|ps|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,837 >> Adding <|tk|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,837 >> Adding <|nn|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,838 >> Adding <|mt|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,838 >> Adding <|sa|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,838 >> Adding <|lb|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,838 >> Adding <|my|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,838 >> Adding <|bo|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,838 >> Adding <|tl|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,838 >> Adding <|mg|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,838 >> Adding <|as|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,838 >> Adding <|tt|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,838 >> Adding <|haw|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,838 >> Adding <|ln|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,838 >> Adding <|ha|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,838 >> Adding <|ba|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,838 >> Adding <|jw|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,838 >> Adding <|su|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,838 >> Adding <|translate|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,838 >> Adding <|transcribe|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,838 >> Adding <|startoflm|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,838 >> Adding <|startofprev|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,838 >> Adding <|nocaptions|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-16 15:27:34,838 >> Adding <|notimestamps|> to the vocabulary /home/ubuntu/whipser-medium-is/./ is already a clone of https://huggingface.co/DavidErikMollberg/whipser-medium-is. Make sure you pull the latest changes with `repo.git_pull()`. 12/16/2022 15:27:37 - WARNING - huggingface_hub.repository - /home/ubuntu/whipser-medium-is/./ is already a clone of https://huggingface.co/DavidErikMollberg/whipser-medium-is. Make sure you pull the latest changes with `repo.git_pull()`. [INFO|trainer.py:511] 2022-12-16 15:27:40,322 >> max_steps is given, it will override any value given in num_train_epochs [INFO|trainer.py:565] 2022-12-16 15:27:40,322 >> Using cuda_amp half precision backend /home/ubuntu/whisper/.venv/lib/python3.8/site-packages/transformers/optimization.py:306: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning warnings.warn( [INFO|trainer.py:1641] 2022-12-16 15:27:40,343 >> ***** Running training ***** [INFO|trainer.py:1642] 2022-12-16 15:27:40,343 >> Num examples = 640000 [INFO|trainer.py:1643] 2022-12-16 15:27:40,343 >> Num Epochs = 9223372036854775807 [INFO|trainer.py:1644] 2022-12-16 15:27:40,344 >> Instantaneous batch size per device = 32 [INFO|trainer.py:1645] 2022-12-16 15:27:40,344 >> Total train batch size (w. parallel, distributed & accumulation) = 64 [INFO|trainer.py:1646] 2022-12-16 15:27:40,344 >> Gradient Accumulation steps = 2 [INFO|trainer.py:1647] 2022-12-16 15:27:40,344 >> Total optimization steps = 10000 [INFO|trainer.py:1648] 2022-12-16 15:27:40,346 >> Number of trainable parameters = 763857920 0%| | 0/10000 [00:00> The following columns in the training set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. 0%| | 1/10000 [00:53<147:22:18, 53.06s/it] 0%| | 2/10000 [01:05<81:09:02, 29.22s/it] 0%| | 3/10000 [01:16<58:15:44, 20.98s/it] 0%| | 4/10000 [01:29<49:11:13, 17.71s/it] 0%| | 5/10000 [01:40<42:55:55, 15.46s/it] 0%| | 6/10000 [01:53<39:47:53, 14.34s/it] 0%| | 7/10000 [02:05<37:49:58, 13.63s/it] 0%| | 8/10000 [02:17<36:15:13, 13.06s/it] 0%| | 9/10000 [02:29<35:34:51, 12.82s/it] 0%| | 10/10000 [02:41<35:00:55, 12.62s/it] 0%| | 11/10000 [02:53<34:15:54, 12.35s/it] 0%| | 12/10000 [03:05<34:10:57, 12.32s/it] 0%| | 13/10000 [03:17<33:56:13, 12.23s/it] 0%| | 14/10000 [03:30<34:23:57, 12.40s/it] 0%| | 15/10000 [03:41<33:41:55, 12.15s/it][WARNING|tokenization_utils_base.py:3553] 2022-12-16 15:31:29,714 >> Token indices sequence length is longer than the specified maximum sequence length for this model (1057 > 1024). Running this sequence through the model will result in indexing errors 0%| | 16/10000 [03:54<33:53:03, 12.22s/it] 0%| | 17/10000 [04:06<33:26:25, 12.06s/it] 0%| | 18/10000 [04:18<33:34:53, 12.11s/it] 0%| | 19/10000 [04:30<33:17:10, 12.01s/it] 0%| | 20/10000 [04:42<33:18:48, 12.02s/it] 0%| | 21/10000 [04:53<33:11:17, 11.97s/it] 0%| | 22/10000 [05:06<33:19:46, 12.03s/it] 0%| | 23/10000 [05:17<33:09:44, 11.97s/it] 0%| | 24/10000 [05:29<33:07:45, 11.96s/it] 0%| | 25/10000 [05:43<34:20:12, 12.39s/it] 0%| | 25/10000 [05:43<34:20:12, 12.39s/it] 0%| | 26/10000 [05:56<34:48:57, 12.57s/it] 0%| | 27/10000 [06:10<36:02:47, 13.01s/it] 0%| | 28/10000 [06:23<35:51:15, 12.94s/it] 0%| | 29/10000 [06:34<34:39:37, 12.51s/it] 0%| | 30/10000 [06:47<34:54:51, 12.61s/it] 0%| | 31/10000 [07:00<34:56:31, 12.62s/it] 0%| | 32/10000 [07:12<35:01:53, 12.65s/it] 0%| | 33/10000 [07:25<35:20:41, 12.77s/it] 0%| | 34/10000 [07:38<35:03:23, 12.66s/it] 0%| | 35/10000 [07:51<35:24:26, 12.79s/it] 0%| | 36/10000 [08:05<36:24:10, 13.15s/it] 0%| | 37/10000 [08:17<35:23:17, 12.79s/it] 0%| | 38/10000 [08:30<35:29:54, 12.83s/it] 0%| | 39/10000 [08:42<35:00:16, 12.65s/it] 0%| | 40/10000 [08:54<34:36:43, 12.51s/it] 0%| | 41/10000 [09:07<35:09:41, 12.71s/it] 0%| | 42/10000 [09:20<35:15:24, 12.75s/it] 0%| | 43/10000 [09:33<35:25:59, 12.81s/it] 0%| | 44/10000 [09:45<34:35:10, 12.51s/it] 0%| | 45/10000 [09:58<34:55:45, 12.63s/it] 0%| | 46/10000 [10:10<34:17:40, 12.40s/it] 0%| | 47/10000 [10:22<33:51:57, 12.25s/it] 0%| | 48/10000 [10:33<33:17:57, 12.05s/it] 0%| | 49/10000 [10:45<33:14:01, 12.02s/it] 0%| | 50/10000 [10:57<32:50:31, 11.88s/it] 0%| | 50/10000 [10:57<32:50:31, 11.88s/it] 1%| | 51/10000 [11:08<32:00:50, 11.58s/it] 1%| | 52/10000 [11:18<31:25:12, 11.37s/it] 1%| | 53/10000 [11:30<31:19:13, 11.34s/it] 1%| | 54/10000 [11:42<31:49:48, 11.52s/it] 1%| | 55/10000 [11:53<31:53:43, 11.55s/it] 1%| | 56/10000 [12:05<32:17:51, 11.69s/it] 1%| | 57/10000 [12:16<31:52:10, 11.54s/it] 1%| | 58/10000 [12:28<31:32:20, 11.42s/it] 1%| | 59/10000 [12:40<31:59:29, 11.59s/it] 1%| | 60/10000 [12:52<32:37:36, 11.82s/it] 1%| | 61/10000 [13:03<32:10:01, 11.65s/it] 1%| | 62/10000 [13:16<33:27:35, 12.12s/it] 1%| | 63/10000 [13:28<33:04:25, 11.98s/it] 1%| | 64/10000 [13:40<33:13:41, 12.04s/it] 1%| | 65/10000 [13:52<32:53:22, 11.92s/it] 1%| | 66/10000 [14:05<33:31:04, 12.15s/it] 1%| | 67/10000 [14:18<34:22:47, 12.46s/it] 1%| | 68/10000 [14:29<33:44:46, 12.23s/it] 1%| | 69/10000 [14:42<33:48:59, 12.26s/it] 1%| | 70/10000 [14:54<33:44:32, 12.23s/it] 1%| | 71/10000 [15:06<33:29:55, 12.15s/it] 1%| | 72/10000 [15:18<33:47:54, 12.26s/it] 1%| | 73/10000 [15:30<33:12:21, 12.04s/it] 1%| | 74/10000 [15:42<33:18:07, 12.08s/it] 1%| | 75/10000 [15:54<32:56:56, 11.95s/it] 1%| | 75/10000 [15:54<32:56:56, 11.95s/it] 1%| | 76/10000 [16:05<32:47:07, 11.89s/it] 1%| | 77/10000 [16:19<34:14:24, 12.42s/it] 1%| | 78/10000 [16:31<33:55:28, 12.31s/it] 1%| | 79/10000 [16:43<33:56:14, 12.31s/it] 1%| | 80/10000 [16:55<33:08:26, 12.03s/it] 1%| | 81/10000 [17:07<33:33:56, 12.18s/it] 1%| | 82/10000 [17:19<33:08:47, 12.03s/it] 1%| | 83/10000 [17:31<32:52:44, 11.94s/it] 1%| | 84/10000 [17:43<33:10:15, 12.04s/it] 1%| | 85/10000 [17:59<36:12:41, 13.15s/it] 1%| | 86/10000 [18:12<36:16:39, 13.17s/it] 1%| | 87/10000 [18:24<34:57:25, 12.69s/it] 1%| | 88/10000 [18:36<34:51:44, 12.66s/it] 1%| | 89/10000 [18:49<34:45:21, 12.62s/it] 1%| | 90/10000 [19:01<34:44:54, 12.62s/it] 1%| | 91/10000 [19:13<34:08:07, 12.40s/it] 1%| | 92/10000 [19:27<34:52:49, 12.67s/it] 1%| | 93/10000 [19:40<35:28:33, 12.89s/it] 1%| | 94/10000 [19:52<34:53:09, 12.68s/it] 1%| | 95/10000 [20:05<34:42:13, 12.61s/it] 1%| | 96/10000 [20:16<33:57:53, 12.35s/it] 1%| | 97/10000 [20:30<34:48:01, 12.65s/it] 1%| | 98/10000 [20:42<34:15:40, 12.46s/it] 1%| | 99/10000 [20:54<34:32:50, 12.56s/it] 1%| | 100/10000 [21:07<34:47:02, 12.65s/it] 1%| | 100/10000 [21:07<34:47:02, 12.65s/it] 1%| | 101/10000 [21:21<35:29:37, 12.91s/it] 1%| | 102/10000 [21:33<35:11:48, 12.80s/it] 1%| | 103/10000 [21:45<34:29:54, 12.55s/it] 1%| | 104/10000 [21:59<35:27:24, 12.90s/it] 1%| | 105/10000 [22:11<35:00:27, 12.74s/it] 1%| | 106/10000 [22:22<33:33:24, 12.21s/it] 1%| | 107/10000 [22:34<33:23:53, 12.15s/it] 1%| | 108/10000 [22:47<34:01:35, 12.38s/it] 1%| | 109/10000 [22:59<33:17:33, 12.12s/it] 1%| | 110/10000 [23:11<33:29:46, 12.19s/it] 1%| | 111/10000 [23:22<32:26:37, 11.81s/it] 1%| | 112/10000 [23:34<32:06:19, 11.69s/it] 1%| | 113/10000 [23:46<33:07:14, 12.06s/it] 1%| | 114/10000 [23:58<33:02:39, 12.03s/it] 1%| | 115/10000 [24:10<32:23:55, 11.80s/it] 1%| | 116/10000 [24:22<33:00:26, 12.02s/it] 1%| | 117/10000 [24:34<32:25:18, 11.81s/it] 1%| | 118/10000 [24:45<31:43:22, 11.56s/it] 1%| | 119/10000 [24:58<33:01:30, 12.03s/it] 1%| | 120/10000 [25:08<32:01:58, 11.67s/it] 1%| | 121/10000 [25:21<32:26:10, 11.82s/it] 1%| | 122/10000 [25:34<33:30:50, 12.21s/it] 1%| | 123/10000 [25:45<32:25:55, 11.82s/it] 1%| | 124/10000 [25:57<32:59:30, 12.03s/it] 1%|▏ | 125/10000 [26:09<32:46:39, 11.95s/it] 1%|▏ | 125/10000 [26:09<32:46:39, 11.95s/it] 1%|▏ | 126/10000 [26:21<32:44:22, 11.94s/it] 1%|▏ | 127/10000 [26:34<33:38:09, 12.26s/it] 1%|▏ | 128/10000 [26:46<33:12:38, 12.11s/it] 1%|▏ | 129/10000 [26:57<32:21:13, 11.80s/it] 1%|▏ | 130/10000 [27:10<33:25:30, 12.19s/it] 1%|▏ | 131/10000 [27:21<32:46:25, 11.96s/it] 1%|▏ | 132/10000 [27:33<32:24:10, 11.82s/it] 1%|▏ | 133/10000 [27:44<31:34:24, 11.52s/it] 1%|▏ | 134/10000 [27:58<33:39:34, 12.28s/it] 1%|▏ | 135/10000 [28:09<32:35:22, 11.89s/it] 1%|▏ | 136/10000 [28:20<32:01:26, 11.69s/it] 1%|▏ | 137/10000 [28:31<31:29:28, 11.49s/it] 1%|▏ | 138/10000 [28:42<31:22:30, 11.45s/it] 1%|▏ | 139/10000 [28:55<32:11:56, 11.75s/it] 1%|▏ | 140/10000 [29:06<32:13:33, 11.77s/it] 1%|▏ | 141/10000 [29:17<31:12:59, 11.40s/it] 1%|▏ | 142/10000 [29:29<31:54:03, 11.65s/it] 1%|▏ | 143/10000 [29:40<31:32:54, 11.52s/it] 1%|▏ | 144/10000 [29:53<31:57:53, 11.68s/it] 1%|▏ | 145/10000 [30:04<31:36:00, 11.54s/it] 1%|▏ | 146/10000 [30:16<32:01:49, 11.70s/it] 1%|▏ | 147/10000 [30:28<32:23:16, 11.83s/it] 1%|▏ | 148/10000 [30:40<32:33:04, 11.89s/it] 1%|▏ | 149/10000 [30:52<32:35:00, 11.91s/it] 2%|▏ | 150/10000 [31:03<31:40:36, 11.58s/it] 2%|▏ | 150/10000 [31:03<31:40:36, 11.58s/it] 2%|▏ | 151/10000 [31:14<31:40:29, 11.58s/it] 2%|▏ | 152/10000 [31:25<31:08:00, 11.38s/it] 2%|▏ | 153/10000 [31:36<30:30:29, 11.15s/it] 2%|▏ | 154/10000 [31:49<32:22:19, 11.84s/it] 2%|▏ | 155/10000 [32:00<31:31:52, 11.53s/it] 2%|▏ | 156/10000 [32:12<31:25:54, 11.49s/it] 2%|▏ | 157/10000 [32:23<31:39:23, 11.58s/it] 2%|▏ | 158/10000 [32:37<33:07:43, 12.12s/it] 2%|▏ | 159/10000 [32:49<33:07:13, 12.12s/it] 2%|▏ | 160/10000 [33:01<33:11:11, 12.14s/it] 2%|▏ | 161/10000 [33:14<33:36:58, 12.30s/it] 2%|▏ | 162/10000 [33:25<33:11:01, 12.14s/it] 2%|▏ | 163/10000 [33:38<33:31:47, 12.27s/it] 2%|▏ | 164/10000 [33:50<33:21:06, 12.21s/it] 2%|▏ | 165/10000 [34:03<33:33:35, 12.28s/it] 2%|▏ | 166/10000 [34:14<33:06:31, 12.12s/it] 2%|▏ | 167/10000 [34:27<33:55:19, 12.42s/it] 2%|▏ | 168/10000 [34:40<33:51:14, 12.40s/it] 2%|▏ | 169/10000 [34:52<33:48:49, 12.38s/it] 2%|▏ | 170/10000 [35:05<34:20:34, 12.58s/it] 2%|▏ | 171/10000 [35:17<33:58:07, 12.44s/it] 2%|▏ | 172/10000 [35:30<34:02:41, 12.47s/it] 2%|▏ | 173/10000 [35:43<34:48:33, 12.75s/it] 2%|▏ | 174/10000 [35:55<34:18:43, 12.57s/it] 2%|▏ | 175/10000 [36:07<33:28:04, 12.26s/it] 2%|▏ | 175/10000 [36:07<33:28:04, 12.26s/it] 2%|▏ | 176/10000 [36:21<34:45:58, 12.74s/it] 2%|▏ | 177/10000 [36:33<34:15:41, 12.56s/it] 2%|▏ | 178/10000 [36:45<33:39:34, 12.34s/it] 2%|▏ | 179/10000 [36:57<33:16:18, 12.20s/it] 2%|▏ | 180/10000 [37:09<33:07:15, 12.14s/it] 2%|▏ | 181/10000 [37:21<33:38:20, 12.33s/it] 2%|▏ | 182/10000 [37:33<33:07:34, 12.15s/it] 2%|▏ | 183/10000 [37:46<33:45:07, 12.38s/it] 2%|▏ | 184/10000 [37:58<33:35:20, 12.32s/it] 2%|▏ | 185/10000 [38:11<34:02:41, 12.49s/it] 2%|▏ | 186/10000 [38:23<33:23:24, 12.25s/it] 2%|▏ | 187/10000 [38:35<33:42:22, 12.37s/it] 2%|▏ | 188/10000 [38:48<33:42:52, 12.37s/it] 2%|▏ | 189/10000 [39:00<33:28:19, 12.28s/it] 2%|▏ | 190/10000 [39:12<33:22:55, 12.25s/it] 2%|▏ | 191/10000 [39:24<33:16:28, 12.21s/it] 2%|▏ | 192/10000 [39:37<33:55:02, 12.45s/it] 2%|▏ | 193/10000 [39:49<33:17:52, 12.22s/it] 2%|▏ | 194/10000 [40:02<34:16:55, 12.59s/it] 2%|▏ | 195/10000 [40:15<34:02:26, 12.50s/it] 2%|▏ | 196/10000 [40:27<33:54:12, 12.45s/it] 2%|▏ | 197/10000 [40:40<34:16:39, 12.59s/it] 2%|▏ | 198/10000 [40:52<33:43:44, 12.39s/it] 2%|▏ | 199/10000 [41:05<34:25:05, 12.64s/it] 2%|▏ | 200/10000 [41:17<33:39:17, 12.36s/it] 2%|▏ | 200/10000 [41:17<33:39:17, 12.36s/it] 2%|▏ | 201/10000 [41:28<33:11:40, 12.20s/it] 2%|▏ | 202/10000 [41:41<33:23:07, 12.27s/it] 2%|▏ | 203/10000 [41:54<33:40:53, 12.38s/it] 2%|▏ | 204/10000 [42:07<34:43:37, 12.76s/it] 2%|▏ | 205/10000 [42:20<34:26:24, 12.66s/it] 2%|▏ | 206/10000 [42:32<34:04:11, 12.52s/it] 2%|▏ | 207/10000 [42:44<33:55:45, 12.47s/it] 2%|▏ | 208/10000 [42:56<33:31:04, 12.32s/it] 2%|▏ | 209/10000 [43:10<34:27:13, 12.67s/it] 2%|▏ | 210/10000 [43:22<34:09:31, 12.56s/it] 2%|▏ | 211/10000 [43:33<33:20:25, 12.26s/it] 2%|▏ | 212/10000 [43:45<32:55:25, 12.11s/it] 2%|▏ | 213/10000 [43:59<34:35:52, 12.73s/it] 2%|▏ | 214/10000 [44:11<33:42:22, 12.40s/it] 2%|▏ | 215/10000 [44:24<33:56:28, 12.49s/it] 2%|▏ | 216/10000 [44:36<33:46:24, 12.43s/it] 2%|▏ | 217/10000 [44:48<33:34:29, 12.36s/it] 2%|▏ | 218/10000 [45:01<33:50:17, 12.45s/it] 2%|▏ | 219/10000 [45:12<32:31:00, 11.97s/it] 2%|▏ | 220/10000 [45:23<31:52:16, 11.73s/it] 2%|▏ | 221/10000 [45:35<32:07:58, 11.83s/it] 2%|▏ | 222/10000 [45:47<32:39:46, 12.03s/it] 2%|▏ | 223/10000 [45:59<32:14:46, 11.87s/it] 2%|▏ | 224/10000 [46:10<31:57:13, 11.77s/it] 2%|▏ | 225/10000 [46:22<31:31:21, 11.61s/it] 2%|▏ | 225/10000 [46:22<31:31:21, 11.61s/it] 2%|▏ | 226/10000 [46:33<31:14:14, 11.51s/it] 2%|▏ | 227/10000 [46:44<30:55:36, 11.39s/it] 2%|▏ | 228/10000 [46:55<30:44:35, 11.33s/it] 2%|▏ | 229/10000 [47:07<31:01:33, 11.43s/it] 2%|▏ | 230/10000 [47:18<31:00:49, 11.43s/it] 2%|▏ | 231/10000 [47:30<31:30:16, 11.61s/it] 2%|▏ | 232/10000 [47:42<31:16:30, 11.53s/it] 2%|▏ | 233/10000 [47:54<31:37:12, 11.65s/it] 2%|▏ | 234/10000 [48:04<30:51:59, 11.38s/it] 2%|▏ | 235/10000 [48:18<32:48:15, 12.09s/it] 2%|▏ | 236/10000 [48:31<33:45:22, 12.45s/it] 2%|▏ | 237/10000 [48:43<33:16:55, 12.27s/it] 2%|▏ | 238/10000 [48:55<32:28:56, 11.98s/it] 2%|▏ | 239/10000 [49:08<33:13:51, 12.26s/it] 2%|▏ | 240/10000 [49:20<33:19:06, 12.29s/it] 2%|▏ | 241/10000 [49:33<33:34:40, 12.39s/it] 2%|▏ | 242/10000 [49:45<33:24:37, 12.33s/it] 2%|▏ | 243/10000 [49:56<32:52:07, 12.13s/it] 2%|▏ | 244/10000 [50:09<33:17:48, 12.29s/it] 2%|▏ | 245/10000 [50:21<32:47:31, 12.10s/it] 2%|▏ | 246/10000 [50:32<32:27:52, 11.98s/it] 2%|▏ | 247/10000 [50:44<32:24:00, 11.96s/it] 2%|▏ | 248/10000 [50:56<32:35:48, 12.03s/it] 2%|▏ | 249/10000 [51:10<34:08:45, 12.61s/it] 2%|▎ | 250/10000 [51:22<33:39:15, 12.43s/it] 2%|▎ | 250/10000 [51:22<33:39:15, 12.43s/it] 3%|▎ | 251/10000 [51:35<33:29:00, 12.36s/it] 3%|▎ | 252/10000 [51:47<33:08:08, 12.24s/it] 3%|▎ | 253/10000 [51:59<33:03:29, 12.21s/it] 3%|▎ | 254/10000 [52:11<33:19:10, 12.31s/it] 3%|▎ | 255/10000 [52:23<33:07:46, 12.24s/it] 3%|▎ | 256/10000 [52:36<33:37:27, 12.42s/it] 3%|▎ | 257/10000 [52:48<33:27:13, 12.36s/it] 3%|▎ | 258/10000 [53:00<32:57:54, 12.18s/it] 3%|▎ | 259/10000 [53:13<33:11:59, 12.27s/it] 3%|▎ | 260/10000 [53:25<33:01:42, 12.21s/it] 3%|▎ | 261/10000 [53:36<32:27:08, 12.00s/it] 3%|▎ | 262/10000 [53:49<33:02:18, 12.21s/it] 3%|▎ | 263/10000 [54:00<32:28:01, 12.00s/it] 3%|▎ | 264/10000 [54:14<33:50:36, 12.51s/it] 3%|▎ | 265/10000 [54:26<33:23:09, 12.35s/it] 3%|▎ | 266/10000 [54:38<32:50:36, 12.15s/it] 3%|▎ | 267/10000 [54:50<33:10:27, 12.27s/it] 3%|▎ | 268/10000 [55:03<33:16:55, 12.31s/it] 3%|▎ | 269/10000 [55:15<33:02:12, 12.22s/it] 3%|▎ | 270/10000 [55:27<33:04:58, 12.24s/it] 3%|▎ | 271/10000 [55:39<32:54:11, 12.18s/it] 3%|▎ | 272/10000 [55:52<33:22:32, 12.35s/it] 3%|▎ | 273/10000 [56:04<33:08:50, 12.27s/it] 3%|▎ | 274/10000 [56:15<32:30:27, 12.03s/it] 3%|▎ | 275/10000 [56:28<32:38:45, 12.08s/it] 3%|▎ | 275/10000 [56:28<32:38:45, 12.08s/it] 3%|▎ | 276/10000 [56:40<32:57:05, 12.20s/it] 3%|▎ | 277/10000 [56:52<33:05:18, 12.25s/it] 3%|▎ | 278/10000 [57:04<32:29:10, 12.03s/it] 3%|▎ | 279/10000 [57:16<32:40:19, 12.10s/it] 3%|▎ | 280/10000 [57:29<33:16:42, 12.33s/it] 3%|▎ | 281/10000 [57:41<33:11:55, 12.30s/it] 3%|▎ | 282/10000 [57:53<32:43:24, 12.12s/it] 3%|▎ | 283/10000 [58:05<32:23:41, 12.00s/it] 3%|▎ | 284/10000 [58:16<31:26:33, 11.65s/it] 3%|▎ | 285/10000 [58:28<31:42:59, 11.75s/it] 3%|▎ | 286/10000 [58:38<30:51:11, 11.43s/it] 3%|▎ | 287/10000 [58:51<31:30:16, 11.68s/it] 3%|▎ | 288/10000 [59:02<31:31:21, 11.68s/it] 3%|▎ | 289/10000 [59:14<31:22:57, 11.63s/it] 3%|▎ | 290/10000 [59:25<31:26:22, 11.66s/it] 3%|▎ | 291/10000 [59:38<31:53:49, 11.83s/it] 3%|▎ | 292/10000 [59:49<31:50:44, 11.81s/it] 3%|▎ | 293/10000 [1:00:01<31:28:33, 11.67s/it] 3%|▎ | 294/10000 [1:00:13<31:56:10, 11.85s/it] 3%|▎ | 295/10000 [1:00:25<32:20:35, 12.00s/it] 3%|▎ | 296/10000 [1:00:36<31:30:44, 11.69s/it] 3%|▎ | 297/10000 [1:00:48<31:35:26, 11.72s/it] 3%|▎ | 298/10000 [1:01:00<31:28:53, 11.68s/it] 3%|▎ | 299/10000 [1:01:11<31:05:26, 11.54s/it] 3%|▎ | 300/10000 [1:01:23<31:09:11, 11.56s/it] 3%|▎ | 300/10000 [1:01:23<31:09:11, 11.56s/it] 3%|▎ | 301/10000 [1:01:35<32:06:06, 11.92s/it] 3%|▎ | 302/10000 [1:01:47<31:57:28, 11.86s/it] 3%|▎ | 303/10000 [1:01:58<31:13:41, 11.59s/it] 3%|▎ | 304/10000 [1:02:10<31:52:57, 11.84s/it] 3%|▎ | 305/10000 [1:02:22<31:39:15, 11.75s/it] 3%|▎ | 306/10000 [1:02:34<31:29:22, 11.69s/it] 3%|▎ | 307/10000 [1:02:45<31:39:14, 11.76s/it] 3%|▎ | 308/10000 [1:02:58<32:40:06, 12.13s/it] 3%|▎ | 309/10000 [1:03:10<32:00:46, 11.89s/it] 3%|▎ | 310/10000 [1:03:22<32:06:38, 11.93s/it] 3%|▎ | 311/10000 [1:03:33<31:32:11, 11.72s/it] 3%|▎ | 312/10000 [1:03:45<32:03:50, 11.91s/it] 3%|▎ | 313/10000 [1:03:57<31:32:35, 11.72s/it] 3%|▎ | 314/10000 [1:04:09<31:51:54, 11.84s/it] 3%|▎ | 315/10000 [1:04:23<33:24:15, 12.42s/it] 3%|▎ | 316/10000 [1:04:34<32:56:56, 12.25s/it] 3%|▎ | 317/10000 [1:04:47<33:16:42, 12.37s/it] 3%|▎ | 318/10000 [1:05:00<33:49:47, 12.58s/it] 3%|▎ | 319/10000 [1:05:12<33:25:18, 12.43s/it] 3%|▎ | 320/10000 [1:05:25<33:32:45, 12.48s/it] 3%|▎ | 321/10000 [1:05:37<33:11:37, 12.35s/it] 3%|▎ | 322/10000 [1:05:51<34:40:09, 12.90s/it] 3%|▎ | 323/10000 [1:06:03<33:53:56, 12.61s/it] 3%|▎ | 324/10000 [1:06:16<34:31:28, 12.85s/it] 3%|▎ | 325/10000 [1:06:29<34:31:27, 12.85s/it] 3%|▎ | 325/10000 [1:06:29<34:31:27, 12.85s/it] 3%|▎ | 326/10000 [1:06:42<34:46:33, 12.94s/it] 3%|▎ | 327/10000 [1:06:54<33:58:43, 12.65s/it] 3%|▎ | 328/10000 [1:07:06<33:12:17, 12.36s/it] 3%|▎ | 329/10000 [1:07:19<33:33:42, 12.49s/it] 3%|▎ | 330/10000 [1:07:31<33:09:06, 12.34s/it] 3%|▎ | 331/10000 [1:07:43<33:24:15, 12.44s/it] 3%|▎ | 332/10000 [1:07:56<33:13:34, 12.37s/it] 3%|▎ | 333/10000 [1:08:08<33:16:30, 12.39s/it] 3%|▎ | 334/10000 [1:08:21<33:15:54, 12.39s/it] 3%|▎ | 335/10000 [1:08:32<32:34:45, 12.14s/it] 3%|▎ | 336/10000 [1:08:46<33:46:43, 12.58s/it] 3%|▎ | 337/10000 [1:08:59<34:24:28, 12.82s/it] 3%|▎ | 338/10000 [1:09:12<34:10:33, 12.73s/it] 3%|▎ | 339/10000 [1:09:24<33:43:24, 12.57s/it] 3%|▎ | 340/10000 [1:09:36<33:17:48, 12.41s/it] 3%|▎ | 341/10000 [1:09:48<32:50:06, 12.24s/it] 3%|▎ | 342/10000 [1:10:00<32:55:57, 12.28s/it] 3%|▎ | 343/10000 [1:10:17<36:21:41, 13.56s/it] 3%|▎ | 344/10000 [1:10:28<34:53:53, 13.01s/it] 3%|▎ | 345/10000 [1:10:41<34:23:52, 12.83s/it] 3%|▎ | 346/10000 [1:10:53<33:36:23, 12.53s/it] 3%|▎ | 347/10000 [1:11:05<33:34:47, 12.52s/it] 3%|▎ | 348/10000 [1:11:17<33:14:25, 12.40s/it] 3%|▎ | 349/10000 [1:11:30<33:35:16, 12.53s/it] 4%|▎ | 350/10000 [1:11:42<33:03:08, 12.33s/it] 4%|▎ | 350/10000 [1:11:42<33:03:08, 12.33s/it] 4%|▎ | 351/10000 [1:11:54<33:10:38, 12.38s/it] 4%|▎ | 352/10000 [1:12:06<32:40:53, 12.19s/it] 4%|▎ | 353/10000 [1:12:18<32:30:22, 12.13s/it] 4%|▎ | 354/10000 [1:12:30<32:31:57, 12.14s/it] 4%|▎ | 355/10000 [1:12:42<32:29:20, 12.13s/it] 4%|▎ | 356/10000 [1:12:55<32:38:01, 12.18s/it] 4%|▎ | 357/10000 [1:13:07<32:35:32, 12.17s/it] 4%|▎ | 358/10000 [1:13:19<32:45:57, 12.23s/it] 4%|▎ | 359/10000 [1:13:30<31:38:56, 11.82s/it] 4%|▎ | 360/10000 [1:13:42<31:47:08, 11.87s/it] 4%|▎ | 361/10000 [1:13:54<32:01:33, 11.96s/it] 4%|▎ | 362/10000 [1:14:05<31:21:23, 11.71s/it] 4%|▎ | 363/10000 [1:14:19<32:38:04, 12.19s/it] 4%|▎ | 364/10000 [1:14:31<32:37:10, 12.19s/it] 4%|▎ | 365/10000 [1:14:42<31:55:59, 11.93s/it] 4%|▎ | 366/10000 [1:14:53<31:27:34, 11.76s/it] 4%|▎ | 367/10000 [1:15:08<33:18:20, 12.45s/it] 4%|▎ | 368/10000 [1:15:19<32:50:01, 12.27s/it] 4%|▎ | 369/10000 [1:15:35<35:09:33, 13.14s/it] 4%|▎ | 370/10000 [1:15:47<34:57:53, 13.07s/it] 4%|▎ | 371/10000 [1:15:59<33:30:47, 12.53s/it] 4%|▎ | 372/10000 [1:16:10<32:17:18, 12.07s/it] 4%|▎ | 373/10000 [1:16:21<31:50:51, 11.91s/it] 4%|▎ | 374/10000 [1:16:33<32:03:53, 11.99s/it] 4%|▍ | 375/10000 [1:16:45<31:52:21, 11.92s/it] 4%|▍ | 375/10000 [1:16:45<31:52:21, 11.92s/it] 4%|▍ | 376/10000 [1:16:56<31:04:33, 11.62s/it] 4%|▍ | 377/10000 [1:17:09<32:06:19, 12.01s/it] 4%|▍ | 378/10000 [1:17:20<31:29:08, 11.78s/it] 4%|▍ | 379/10000 [1:17:33<32:02:46, 11.99s/it] 4%|▍ | 380/10000 [1:17:45<32:19:24, 12.10s/it] 4%|▍ | 381/10000 [1:17:57<32:32:11, 12.18s/it] 4%|▍ | 382/10000 [1:18:10<32:45:32, 12.26s/it] 4%|▍ | 383/10000 [1:18:22<32:39:29, 12.23s/it] 4%|▍ | 384/10000 [1:18:36<33:37:30, 12.59s/it] 4%|▍ | 385/10000 [1:18:48<33:16:14, 12.46s/it] 4%|▍ | 386/10000 [1:19:01<33:37:01, 12.59s/it] 4%|▍ | 387/10000 [1:19:12<32:45:17, 12.27s/it] 4%|▍ | 388/10000 [1:19:24<32:34:24, 12.20s/it] 4%|▍ | 389/10000 [1:19:37<32:58:30, 12.35s/it] 4%|▍ | 390/10000 [1:19:50<33:16:43, 12.47s/it] 4%|▍ | 391/10000 [1:20:02<33:05:12, 12.40s/it] 4%|▍ | 392/10000 [1:20:14<32:31:47, 12.19s/it] 4%|▍ | 393/10000 [1:20:27<33:30:11, 12.55s/it] 4%|▍ | 394/10000 [1:20:39<32:46:35, 12.28s/it] 4%|▍ | 395/10000 [1:20:50<32:22:26, 12.13s/it] 4%|▍ | 396/10000 [1:21:03<32:26:41, 12.16s/it] 4%|▍ | 397/10000 [1:21:14<32:10:42, 12.06s/it] 4%|▍ | 398/10000 [1:21:27<32:38:34, 12.24s/it] 4%|▍ | 399/10000 [1:21:41<33:38:09, 12.61s/it] 4%|▍ | 400/10000 [1:21:52<32:58:09, 12.36s/it] 4%|▍ | 400/10000 [1:21:52<32:58:09, 12.36s/it] 4%|▍ | 401/10000 [1:22:05<33:26:31, 12.54s/it] 4%|▍ | 402/10000 [1:22:17<32:52:39, 12.33s/it] 4%|▍ | 403/10000 [1:22:29<32:52:53, 12.33s/it] 4%|▍ | 404/10000 [1:22:41<32:26:56, 12.17s/it] 4%|▍ | 405/10000 [1:22:54<32:58:30, 12.37s/it] 4%|▍ | 406/10000 [1:23:06<32:38:01, 12.25s/it] 4%|▍ | 407/10000 [1:23:18<32:05:38, 12.04s/it] 4%|▍ | 408/10000 [1:23:32<33:40:39, 12.64s/it] 4%|▍ | 409/10000 [1:23:43<32:45:38, 12.30s/it] 4%|▍ | 410/10000 [1:23:56<32:51:50, 12.34s/it] 4%|▍ | 411/10000 [1:24:08<32:32:50, 12.22s/it] 4%|▍ | 412/10000 [1:24:20<32:25:40, 12.18s/it] 4%|▍ | 413/10000 [1:24:32<32:32:15, 12.22s/it] 4%|▍ | 414/10000 [1:24:44<32:18:11, 12.13s/it] 4%|▍ | 415/10000 [1:24:56<32:19:32, 12.14s/it] 4%|▍ | 416/10000 [1:25:09<32:40:53, 12.28s/it] 4%|▍ | 417/10000 [1:25:22<33:36:47, 12.63s/it] 4%|▍ | 418/10000 [1:25:33<32:35:34, 12.25s/it] 4%|▍ | 419/10000 [1:25:45<32:03:38, 12.05s/it] 4%|▍ | 420/10000 [1:25:57<31:45:08, 11.93s/it] 4%|▍ | 421/10000 [1:26:08<30:59:33, 11.65s/it] 4%|▍ | 422/10000 [1:26:19<30:42:47, 11.54s/it] 4%|▍ | 423/10000 [1:26:30<30:33:04, 11.48s/it] 4%|▍ | 424/10000 [1:26:42<30:56:21, 11.63s/it] 4%|▍ | 425/10000 [1:26:54<31:14:56, 11.75s/it] 4%|▍ | 425/10000 [1:26:54<31:14:56, 11.75s/it] 4%|▍ | 426/10000 [1:27:08<32:36:04, 12.26s/it] 4%|▍ | 427/10000 [1:27:21<33:33:46, 12.62s/it] 4%|▍ | 428/10000 [1:27:33<32:47:16, 12.33s/it] 4%|▍ | 429/10000 [1:27:45<32:29:53, 12.22s/it] 4%|▍ | 430/10000 [1:27:57<32:45:36, 12.32s/it] 4%|▍ | 431/10000 [1:28:10<33:01:22, 12.42s/it] 4%|▍ | 432/10000 [1:28:22<32:26:28, 12.21s/it] 4%|▍ | 433/10000 [1:28:33<31:35:35, 11.89s/it] 4%|▍ | 434/10000 [1:28:45<31:39:01, 11.91s/it] 4%|▍ | 435/10000 [1:28:58<32:31:52, 12.24s/it] 4%|▍ | 436/10000 [1:29:10<32:26:35, 12.21s/it] 4%|▍ | 437/10000 [1:29:21<31:46:31, 11.96s/it] 4%|▍ | 438/10000 [1:29:32<30:38:46, 11.54s/it] 4%|▍ | 439/10000 [1:29:44<31:20:19, 11.80s/it] 4%|▍ | 440/10000 [1:29:56<31:07:57, 11.72s/it] 4%|▍ | 441/10000 [1:30:08<31:44:32, 11.95s/it] 4%|▍ | 442/10000 [1:30:20<31:11:45, 11.75s/it] 4%|▍ | 443/10000 [1:30:31<31:14:21, 11.77s/it] 4%|▍ | 444/10000 [1:30:44<31:37:16, 11.91s/it] 4%|▍ | 445/10000 [1:30:57<32:42:32, 12.32s/it] 4%|▍ | 446/10000 [1:31:08<31:23:56, 11.83s/it] 4%|▍ | 447/10000 [1:31:21<32:37:09, 12.29s/it] 4%|▍ | 448/10000 [1:31:34<33:14:07, 12.53s/it] 4%|▍ | 449/10000 [1:31:46<33:02:45, 12.46s/it] 4%|▍ | 450/10000 [1:31:59<32:47:44, 12.36s/it] 4%|▍ | 450/10000 [1:31:59<32:47:44, 12.36s/it] 5%|▍ | 451/10000 [1:32:11<32:48:47, 12.37s/it] 5%|▍ | 452/10000 [1:32:23<32:53:23, 12.40s/it] 5%|▍ | 453/10000 [1:32:36<32:46:43, 12.36s/it] 5%|▍ | 454/10000 [1:32:49<33:23:13, 12.59s/it] 5%|▍ | 455/10000 [1:33:01<33:15:29, 12.54s/it] 5%|▍ | 456/10000 [1:33:13<32:37:15, 12.30s/it] 5%|▍ | 457/10000 [1:33:25<32:36:18, 12.30s/it] 5%|▍ | 458/10000 [1:33:37<32:17:58, 12.19s/it] 5%|▍ | 459/10000 [1:33:49<32:22:50, 12.22s/it] 5%|▍ | 460/10000 [1:34:01<32:02:20, 12.09s/it] 5%|▍ | 461/10000 [1:34:13<31:55:05, 12.05s/it] 5%|▍ | 462/10000 [1:34:26<32:13:51, 12.17s/it] 5%|▍ | 463/10000 [1:34:39<32:58:57, 12.45s/it] 5%|▍ | 464/10000 [1:34:51<32:51:22, 12.40s/it] 5%|▍ | 465/10000 [1:35:03<32:22:43, 12.22s/it] 5%|▍ | 466/10000 [1:35:15<32:24:11, 12.24s/it] 5%|▍ | 467/10000 [1:35:28<32:39:22, 12.33s/it] 5%|▍ | 468/10000 [1:35:40<32:25:35, 12.25s/it] 5%|▍ | 469/10000 [1:35:52<32:16:04, 12.19s/it] 5%|▍ | 470/10000 [1:36:04<32:02:41, 12.11s/it] 5%|▍ | 471/10000 [1:36:16<32:20:57, 12.22s/it] 5%|▍ | 472/10000 [1:36:29<32:53:25, 12.43s/it] 5%|▍ | 473/10000 [1:36:41<32:19:19, 12.21s/it] 5%|▍ | 474/10000 [1:36:53<32:11:06, 12.16s/it] 5%|▍ | 475/10000 [1:37:05<32:20:09, 12.22s/it] 5%|▍ | 475/10000 [1:37:05<32:20:09, 12.22s/it] 5%|▍ | 476/10000 [1:37:17<31:44:28, 12.00s/it] 5%|▍ | 477/10000 [1:37:29<32:12:06, 12.17s/it] 5%|▍ | 478/10000 [1:37:41<32:00:42, 12.10s/it] 5%|▍ | 479/10000 [1:37:53<31:47:49, 12.02s/it] 5%|▍ | 480/10000 [1:38:06<32:08:39, 12.16s/it] 5%|▍ | 481/10000 [1:38:18<32:28:47, 12.28s/it] 5%|▍ | 482/10000 [1:38:30<32:17:02, 12.21s/it] 5%|▍ | 483/10000 [1:38:42<31:41:42, 11.99s/it] 5%|▍ | 484/10000 [1:38:53<31:31:51, 11.93s/it] 5%|▍ | 485/10000 [1:39:06<32:24:17, 12.26s/it] 5%|▍ | 486/10000 [1:39:19<32:19:40, 12.23s/it] 5%|▍ | 487/10000 [1:39:31<32:18:21, 12.23s/it] 5%|▍ | 488/10000 [1:39:42<31:49:12, 12.04s/it] 5%|▍ | 489/10000 [1:39:55<32:00:55, 12.12s/it] 5%|▍ | 490/10000 [1:40:09<33:48:46, 12.80s/it] 5%|▍ | 491/10000 [1:40:21<33:28:06, 12.67s/it] 5%|▍ | 492/10000 [1:40:35<33:46:44, 12.79s/it] 5%|▍ | 493/10000 [1:40:46<32:53:09, 12.45s/it] 5%|▍ | 494/10000 [1:40:59<33:02:25, 12.51s/it] 5%|▍ | 495/10000 [1:41:11<32:40:28, 12.38s/it] 5%|▍ | 496/10000 [1:41:23<32:18:03, 12.24s/it] 5%|▍ | 497/10000 [1:41:35<32:31:22, 12.32s/it] 5%|▍ | 498/10000 [1:41:48<32:27:35, 12.30s/it] 5%|▍ | 499/10000 [1:42:02<33:50:25, 12.82s/it] 5%|▌ | 500/10000 [1:42:14<33:23:44, 12.66s/it] 5%|▌ | 500/10000 [1:42:14<33:23:44, 12.66s/it][INFO|trainer.py:2955] 2022-12-16 17:09:54,783 >> ***** Running Evaluation ***** [INFO|trainer.py:2959] 2022-12-16 17:09:54,783 >> Num examples: Unknown [INFO|trainer.py:2960] 2022-12-16 17:09:54,783 >> Batch size = 32 [INFO|trainer_utils.py:689] 2022-12-16 17:09:57,636 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length, speaker_id, duration, gender, age. If input_length, speaker_id, duration, gender, age are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. 5%|▌ | 500/10000 [1:54:54<33:23:44, 12.66s/it] 5%|▌ | 501/10000 [1:55:06<634:45:23, 240.56s/it] 5%|▌ | 502/10000 [1:55:18<453:21:33, 171.84s/it] 5%|▌ | 503/10000 [1:55:30<326:43:33, 123.85s/it] 5%|▌ | 504/10000 [1:55:42<238:27:48, 90.40s/it] 5%|▌ | 505/10000 [1:55:53<175:51:52, 66.68s/it] 5%|▌ | 506/10000 [1:56:04<131:46:20, 49.97s/it] 5%|▌ | 507/10000 [1:56:16<101:34:07, 38.52s/it] 5%|▌ | 508/10000 [1:56:28<80:28:19, 30.52s/it] 5%|▌ | 509/10000 [1:56:40<65:34:47, 24.87s/it] 5%|▌ | 510/10000 [1:56:51<55:15:21, 20.96s/it] 5%|▌ | 511/10000 [1:57:04<48:49:46, 18.53s/it] 5%|▌ | 512/10000 [1:57:16<43:01:14, 16.32s/it] 5%|▌ | 513/10000 [1:57:28<39:53:36, 15.14s/it] 5%|▌ | 514/10000 [1:57:39<36:46:04, 13.95s/it] 5%|▌ | 515/10000 [1:57:50<34:34:51, 13.13s/it] 5%|▌ | 516/10000 [1:58:02<33:33:47, 12.74s/it] 5%|▌ | 517/10000 [1:58:14<32:55:54, 12.50s/it] 5%|▌ | 518/10000 [1:58:27<33:18:59, 12.65s/it] 5%|▌ | 519/10000 [1:58:38<32:14:52, 12.24s/it] 5%|▌ | 520/10000 [1:58:50<31:36:19, 12.00s/it] 5%|▌ | 521/10000 [1:59:01<31:07:52, 11.82s/it] 5%|▌ | 522/10000 [1:59:12<30:34:07, 11.61s/it] 5%|▌ | 523/10000 [1:59:24<30:34:42, 11.62s/it] 5%|▌ | 524/10000 [1:59:35<30:30:14, 11.59s/it] 5%|▌ | 525/10000 [1:59:47<30:22:08, 11.54s/it] 5%|▌ | 525/10000 [1:59:47<30:22:08, 11.54s/it] 5%|▌ | 526/10000 [1:59:58<30:22:38, 11.54s/it] 5%|▌ | 527/10000 [2:00:12<31:44:32, 12.06s/it] 5%|▌ | 528/10000 [2:00:23<31:07:20, 11.83s/it] 5%|▌ | 529/10000 [2:00:35<31:25:07, 11.94s/it] 5%|▌ | 530/10000 [2:00:47<31:13:27, 11.87s/it] 5%|▌ | 531/10000 [2:00:59<31:15:30, 11.88s/it] 5%|▌ | 532/10000 [2:01:11<31:15:37, 11.89s/it] 5%|▌ | 533/10000 [2:01:24<32:03:06, 12.19s/it] 5%|▌ | 534/10000 [2:01:35<31:35:07, 12.01s/it] 5%|▌ | 535/10000 [2:01:47<31:35:27, 12.02s/it] 5%|▌ | 536/10000 [2:01:58<30:35:28, 11.64s/it] 5%|▌ | 537/10000 [2:02:11<31:29:40, 11.98s/it] 5%|▌ | 538/10000 [2:02:23<31:49:08, 12.11s/it] 5%|▌ | 539/10000 [2:02:35<31:15:50, 11.90s/it] 5%|▌ | 540/10000 [2:02:46<31:06:39, 11.84s/it] 5%|▌ | 541/10000 [2:02:58<31:15:24, 11.90s/it] 5%|▌ | 542/10000 [2:03:10<31:23:58, 11.95s/it] 5%|▌ | 543/10000 [2:03:23<32:05:34, 12.22s/it] 5%|▌ | 544/10000 [2:03:34<31:07:50, 11.85s/it] 5%|▌ | 545/10000 [2:03:46<31:21:00, 11.94s/it] 5%|▌ | 546/10000 [2:03:59<32:13:34, 12.27s/it] 5%|▌ | 547/10000 [2:04:11<31:25:48, 11.97s/it] 5%|▌ | 548/10000 [2:04:22<30:33:13, 11.64s/it] 5%|▌ | 549/10000 [2:04:32<30:00:58, 11.43s/it] 6%|▌ | 550/10000 [2:04:44<30:04:46, 11.46s/it] 6%|▌ | 550/10000 [2:04:44<30:04:46, 11.46s/it] 6%|▌ | 551/10000 [2:04:57<31:33:41, 12.02s/it] 6%|▌ | 552/10000 [2:05:08<30:50:48, 11.75s/it] 6%|▌ | 553/10000 [2:05:20<30:16:56, 11.54s/it] 6%|▌ | 554/10000 [2:05:32<30:45:55, 11.73s/it] 6%|▌ | 555/10000 [2:05:44<31:11:52, 11.89s/it] 6%|▌ | 556/10000 [2:05:55<30:26:08, 11.60s/it] 6%|▌ | 557/10000 [2:06:08<31:17:43, 11.93s/it] 6%|▌ | 558/10000 [2:06:19<30:45:13, 11.73s/it] 6%|▌ | 559/10000 [2:06:30<30:27:46, 11.62s/it] 6%|▌ | 560/10000 [2:06:42<30:13:57, 11.53s/it] 6%|▌ | 561/10000 [2:06:53<30:26:22, 11.61s/it] 6%|▌ | 562/10000 [2:07:04<29:50:43, 11.38s/it] 6%|▌ | 563/10000 [2:07:18<31:40:25, 12.08s/it] 6%|▌ | 564/10000 [2:07:31<32:41:34, 12.47s/it] 6%|▌ | 565/10000 [2:07:42<31:41:48, 12.09s/it] 6%|▌ | 566/10000 [2:07:54<31:22:11, 11.97s/it] 6%|▌ | 567/10000 [2:08:06<31:02:02, 11.84s/it] 6%|▌ | 568/10000 [2:08:18<31:06:21, 11.87s/it] 6%|▌ | 569/10000 [2:08:29<30:48:28, 11.76s/it] 6%|▌ | 570/10000 [2:08:41<31:01:33, 11.84s/it] 6%|▌ | 571/10000 [2:08:53<30:52:03, 11.79s/it] 6%|▌ | 572/10000 [2:09:05<31:11:17, 11.91s/it] 6%|▌ | 573/10000 [2:09:18<32:01:31, 12.23s/it] 6%|▌ | 574/10000 [2:09:30<31:48:16, 12.15s/it] 6%|▌ | 575/10000 [2:09:42<31:48:32, 12.15s/it] 6%|▌ | 575/10000 [2:09:42<31:48:32, 12.15s/it] 6%|▌ | 576/10000 [2:09:54<31:50:47, 12.17s/it] 6%|▌ | 577/10000 [2:10:07<31:59:47, 12.22s/it] 6%|▌ | 578/10000 [2:10:19<31:50:28, 12.17s/it] 6%|▌ | 579/10000 [2:10:31<31:53:26, 12.19s/it] 6%|▌ | 580/10000 [2:10:43<31:50:20, 12.17s/it] 6%|▌ | 581/10000 [2:10:55<31:39:33, 12.10s/it] 6%|▌ | 582/10000 [2:11:08<32:28:50, 12.42s/it] 6%|▌ | 583/10000 [2:11:20<31:45:49, 12.14s/it] 6%|▌ | 584/10000 [2:11:32<32:18:02, 12.35s/it] 6%|▌ | 585/10000 [2:11:45<32:31:32, 12.44s/it] 6%|▌ | 586/10000 [2:11:56<31:37:42, 12.10s/it] 6%|▌ | 587/10000 [2:12:09<32:08:00, 12.29s/it] 6%|▌ | 588/10000 [2:12:21<31:44:43, 12.14s/it] 6%|▌ | 589/10000 [2:12:35<33:03:14, 12.64s/it] 6%|▌ | 590/10000 [2:12:47<32:38:37, 12.49s/it] 6%|▌ | 591/10000 [2:12:59<32:28:22, 12.42s/it] 6%|▌ | 592/10000 [2:13:11<32:03:25, 12.27s/it] 6%|▌ | 593/10000 [2:13:23<31:56:50, 12.23s/it] 6%|▌ | 594/10000 [2:13:35<31:58:09, 12.24s/it] 6%|▌ | 595/10000 [2:13:47<31:43:33, 12.14s/it] 6%|▌ | 596/10000 [2:14:01<32:55:16, 12.60s/it] 6%|▌ | 597/10000 [2:14:13<32:08:27, 12.31s/it] 6%|▌ | 598/10000 [2:14:25<32:20:25, 12.38s/it] 6%|▌ | 599/10000 [2:14:38<32:17:18, 12.36s/it] 6%|▌ | 600/10000 [2:14:49<31:43:20, 12.15s/it] 6%|▌ | 600/10000 [2:14:49<31:43:20, 12.15s/it] 6%|▌ | 601/10000 [2:15:02<31:58:49, 12.25s/it] 6%|▌ | 602/10000 [2:15:14<31:47:00, 12.17s/it] 6%|▌ | 603/10000 [2:15:26<31:34:16, 12.09s/it] 6%|▌ | 604/10000 [2:15:39<32:28:30, 12.44s/it] 6%|▌ | 605/10000 [2:15:51<31:57:15, 12.24s/it] 6%|▌ | 606/10000 [2:16:04<32:33:24, 12.48s/it] 6%|▌ | 607/10000 [2:16:16<32:10:30, 12.33s/it] 6%|▌ | 608/10000 [2:16:27<31:33:59, 12.10s/it] 6%|▌ | 609/10000 [2:16:40<32:05:13, 12.30s/it] 6%|▌ | 610/10000 [2:16:51<31:18:33, 12.00s/it] 6%|▌ | 611/10000 [2:17:05<32:19:03, 12.39s/it] 6%|▌ | 612/10000 [2:17:17<32:39:08, 12.52s/it] 6%|▌ | 613/10000 [2:17:29<31:50:48, 12.21s/it] 6%|▌ | 614/10000 [2:17:42<32:11:32, 12.35s/it] 6%|▌ | 615/10000 [2:17:53<31:48:03, 12.20s/it] 6%|▌ | 616/10000 [2:18:06<32:03:07, 12.30s/it] 6%|▌ | 617/10000 [2:18:18<31:39:32, 12.15s/it] 6%|▌ | 618/10000 [2:18:33<33:50:21, 12.98s/it] 6%|▌ | 619/10000 [2:18:45<33:01:06, 12.67s/it] 6%|▌ | 620/10000 [2:18:57<33:07:59, 12.72s/it] 6%|▌ | 621/10000 [2:19:09<32:27:49, 12.46s/it] 6%|▌ | 622/10000 [2:19:21<31:58:01, 12.27s/it] 6%|▌ | 623/10000 [2:19:34<32:05:09, 12.32s/it] 6%|▌ | 624/10000 [2:19:45<31:26:06, 12.07s/it] 6%|▋ | 625/10000 [2:19:59<32:57:30, 12.66s/it] 6%|▋ | 625/10000 [2:19:59<32:57:30, 12.66s/it] 6%|▋ | 626/10000 [2:20:11<32:21:00, 12.42s/it] 6%|▋ | 627/10000 [2:20:23<32:03:25, 12.31s/it] 6%|▋ | 628/10000 [2:20:35<31:56:55, 12.27s/it] 6%|▋ | 629/10000 [2:20:48<32:12:45, 12.37s/it] 6%|▋ | 630/10000 [2:21:00<32:13:20, 12.38s/it] 6%|▋ | 631/10000 [2:21:12<31:53:48, 12.26s/it] 6%|▋ | 632/10000 [2:21:25<32:04:03, 12.32s/it] 6%|▋ | 633/10000 [2:21:37<32:21:46, 12.44s/it] 6%|▋ | 634/10000 [2:21:49<31:25:47, 12.08s/it] 6%|▋ | 635/10000 [2:22:01<31:24:13, 12.07s/it] 6%|▋ | 636/10000 [2:22:12<30:46:46, 11.83s/it] 6%|▋ | 637/10000 [2:22:23<30:28:55, 11.72s/it] 6%|▋ | 638/10000 [2:22:35<30:41:54, 11.80s/it] 6%|▋ | 639/10000 [2:22:46<30:00:22, 11.54s/it] 6%|▋ | 640/10000 [2:22:59<31:08:21, 11.98s/it] 6%|▋ | 641/10000 [2:23:10<30:10:54, 11.61s/it] 6%|▋ | 642/10000 [2:23:22<30:19:47, 11.67s/it] 6%|▋ | 643/10000 [2:23:34<30:39:14, 11.79s/it] 6%|▋ | 644/10000 [2:23:46<30:45:52, 11.84s/it] 6%|▋ | 645/10000 [2:23:58<30:53:46, 11.89s/it] 6%|▋ | 646/10000 [2:24:10<30:57:09, 11.91s/it] 6%|▋ | 647/10000 [2:24:22<31:06:29, 11.97s/it] 6%|▋ | 648/10000 [2:24:33<30:41:24, 11.81s/it] 6%|▋ | 649/10000 [2:24:45<30:45:38, 11.84s/it] 6%|▋ | 650/10000 [2:24:59<32:30:02, 12.51s/it] 6%|▋ | 650/10000 [2:24:59<32:30:02, 12.51s/it] 7%|▋ | 651/10000 [2:25:11<31:44:33, 12.22s/it] 7%|▋ | 652/10000 [2:25:22<30:41:29, 11.82s/it] 7%|▋ | 653/10000 [2:25:34<30:52:05, 11.89s/it] 7%|▋ | 654/10000 [2:25:46<31:19:16, 12.06s/it] 7%|▋ | 655/10000 [2:25:59<31:27:53, 12.12s/it] 7%|▋ | 656/10000 [2:26:10<30:44:45, 11.85s/it] 7%|▋ | 657/10000 [2:26:22<30:43:27, 11.84s/it] 7%|▋ | 658/10000 [2:26:34<30:51:06, 11.89s/it] 7%|▋ | 659/10000 [2:26:45<30:09:15, 11.62s/it] 7%|▋ | 660/10000 [2:26:57<30:43:12, 11.84s/it] 7%|▋ | 661/10000 [2:27:09<31:09:11, 12.01s/it] 7%|▋ | 662/10000 [2:27:21<31:10:07, 12.02s/it] 7%|▋ | 663/10000 [2:27:34<31:37:16, 12.19s/it] 7%|▋ | 664/10000 [2:27:45<30:57:07, 11.94s/it] 7%|▋ | 665/10000 [2:27:59<32:21:31, 12.48s/it] 7%|▋ | 666/10000 [2:28:11<32:03:38, 12.37s/it] 7%|▋ | 667/10000 [2:28:23<31:56:45, 12.32s/it] 7%|▋ | 668/10000 [2:28:36<31:50:49, 12.29s/it] 7%|▋ | 669/10000 [2:28:47<31:16:42, 12.07s/it] 7%|▋ | 670/10000 [2:29:00<31:36:27, 12.20s/it] 7%|▋ | 671/10000 [2:29:12<31:48:03, 12.27s/it] 7%|▋ | 672/10000 [2:29:25<32:23:42, 12.50s/it] 7%|▋ | 673/10000 [2:29:37<31:45:35, 12.26s/it] 7%|▋ | 674/10000 [2:29:49<31:43:27, 12.25s/it] 7%|▋ | 675/10000 [2:30:01<31:33:59, 12.19s/it] 7%|▋ | 675/10000 [2:30:01<31:33:59, 12.19s/it] 7%|▋ | 676/10000 [2:30:13<31:21:32, 12.11s/it] 7%|▋ | 677/10000 [2:30:27<32:41:28, 12.62s/it] 7%|▋ | 678/10000 [2:30:40<32:51:19, 12.69s/it] 7%|▋ | 679/10000 [2:30:52<32:24:57, 12.52s/it] 7%|▋ | 680/10000 [2:31:05<32:52:18, 12.70s/it] 7%|▋ | 681/10000 [2:31:17<31:59:52, 12.36s/it] 7%|▋ | 682/10000 [2:31:30<32:30:29, 12.56s/it] 7%|▋ | 683/10000 [2:31:42<32:40:10, 12.62s/it] 7%|▋ | 684/10000 [2:31:54<32:14:50, 12.46s/it] 7%|▋ | 685/10000 [2:32:07<31:57:50, 12.35s/it] 7%|▋ | 686/10000 [2:32:18<31:27:26, 12.16s/it] 7%|▋ | 687/10000 [2:32:30<31:31:21, 12.19s/it] 7%|▋ | 688/10000 [2:32:44<32:36:13, 12.60s/it] 7%|▋ | 689/10000 [2:32:55<31:40:37, 12.25s/it] 7%|▋ | 690/10000 [2:33:07<31:25:02, 12.15s/it] 7%|▋ | 691/10000 [2:33:19<31:08:08, 12.04s/it] 7%|▋ | 692/10000 [2:33:31<31:02:45, 12.01s/it] 7%|▋ | 693/10000 [2:33:43<31:08:56, 12.05s/it] 7%|▋ | 694/10000 [2:33:56<31:55:05, 12.35s/it] 7%|▋ | 695/10000 [2:34:09<32:12:15, 12.46s/it] 7%|▋ | 696/10000 [2:34:21<32:07:28, 12.43s/it] 7%|▋ | 697/10000 [2:34:34<32:01:52, 12.40s/it] 7%|▋ | 698/10000 [2:34:46<31:39:49, 12.25s/it] 7%|▋ | 699/10000 [2:34:58<31:33:54, 12.22s/it] 7%|▋ | 700/10000 [2:35:12<33:28:41, 12.96s/it] 7%|▋ | 700/10000 [2:35:12<33:28:41, 12.96s/it] 7%|▋ | 701/10000 [2:35:25<33:16:06, 12.88s/it] 7%|▋ | 702/10000 [2:35:37<32:15:38, 12.49s/it] 7%|▋ | 703/10000 [2:35:48<31:42:17, 12.28s/it] 7%|▋ | 704/10000 [2:36:01<31:54:58, 12.36s/it] 7%|▋ | 705/10000 [2:36:13<31:30:15, 12.20s/it] 7%|▋ | 706/10000 [2:36:25<31:21:47, 12.15s/it] 7%|▋ | 707/10000 [2:36:37<31:24:46, 12.17s/it] 7%|▋ | 708/10000 [2:36:49<31:24:39, 12.17s/it] 7%|▋ | 709/10000 [2:37:00<30:36:01, 11.86s/it] 7%|▋ | 710/10000 [2:37:13<31:25:17, 12.18s/it] 7%|▋ | 711/10000 [2:37:25<31:08:35, 12.07s/it] 7%|▋ | 712/10000 [2:37:36<30:13:04, 11.71s/it] 7%|▋ | 713/10000 [2:37:48<30:05:18, 11.66s/it] 7%|▋ | 714/10000 [2:37:59<29:41:45, 11.51s/it] 7%|▋ | 715/10000 [2:38:10<29:39:43, 11.50s/it] 7%|▋ | 716/10000 [2:38:22<29:35:51, 11.48s/it] 7%|▋ | 717/10000 [2:38:34<30:14:21, 11.73s/it] 7%|▋ | 718/10000 [2:38:46<30:25:59, 11.80s/it] 7%|▋ | 719/10000 [2:38:57<30:05:37, 11.67s/it] 7%|▋ | 720/10000 [2:39:09<29:43:43, 11.53s/it] 7%|▋ | 721/10000 [2:39:20<29:31:48, 11.46s/it] 7%|▋ | 722/10000 [2:39:33<30:33:36, 11.86s/it] 7%|▋ | 723/10000 [2:39:45<31:19:25, 12.16s/it] 7%|▋ | 724/10000 [2:39:57<30:40:59, 11.91s/it] 7%|▋ | 725/10000 [2:40:09<30:39:34, 11.90s/it] 7%|▋ | 725/10000 [2:40:09<30:39:34, 11.90s/it] 7%|▋ | 726/10000 [2:40:22<31:33:31, 12.25s/it] 7%|▋ | 727/10000 [2:40:34<31:37:32, 12.28s/it] 7%|▋ | 728/10000 [2:40:45<30:58:13, 12.02s/it] 7%|▋ | 729/10000 [2:40:56<30:00:23, 11.65s/it] 7%|▋ | 730/10000 [2:41:08<29:58:16, 11.64s/it] 7%|▋ | 731/10000 [2:41:18<29:09:53, 11.33s/it] 7%|▋ | 732/10000 [2:41:30<29:18:31, 11.38s/it] 7%|▋ | 733/10000 [2:41:41<29:14:54, 11.36s/it] 7%|▋ | 734/10000 [2:41:52<29:00:24, 11.27s/it] 7%|▋ | 735/10000 [2:42:05<30:13:51, 11.75s/it] 7%|▋ | 736/10000 [2:42:17<30:19:06, 11.78s/it] 7%|▋ | 737/10000 [2:42:29<30:27:50, 11.84s/it] 7%|▋ | 738/10000 [2:42:42<31:26:31, 12.22s/it] 7%|▋ | 739/10000 [2:42:53<30:28:24, 11.85s/it] 7%|▋ | 740/10000 [2:43:05<30:47:36, 11.97s/it] 7%|▋ | 741/10000 [2:43:17<30:19:13, 11.79s/it] 7%|▋ | 742/10000 [2:43:30<31:27:53, 12.24s/it] 7%|▋ | 743/10000 [2:43:42<31:26:29, 12.23s/it] 7%|▋ | 744/10000 [2:43:56<32:27:02, 12.62s/it] 7%|▋ | 745/10000 [2:44:07<31:21:45, 12.20s/it] 7%|▋ | 746/10000 [2:44:18<30:21:25, 11.81s/it] 7%|▋ | 747/10000 [2:44:30<30:18:04, 11.79s/it] 7%|▋ | 748/10000 [2:44:41<30:01:24, 11.68s/it] 7%|▋ | 749/10000 [2:44:53<29:56:04, 11.65s/it] 8%|▊ | 750/10000 [2:45:04<29:57:58, 11.66s/it] 8%|▊ | 750/10000 [2:45:04<29:57:58, 11.66s/it] 8%|▊ | 751/10000 [2:45:16<30:05:14, 11.71s/it] 8%|▊ | 752/10000 [2:45:29<30:48:25, 11.99s/it] 8%|▊ | 753/10000 [2:45:41<30:46:30, 11.98s/it] 8%|▊ | 754/10000 [2:45:52<30:17:04, 11.79s/it] 8%|▊ | 755/10000 [2:46:04<30:00:08, 11.68s/it] 8%|▊ | 756/10000 [2:46:15<30:04:27, 11.71s/it] 8%|▊ | 757/10000 [2:46:27<30:03:20, 11.71s/it] 8%|▊ | 758/10000 [2:46:38<29:46:52, 11.60s/it] 8%|▊ | 759/10000 [2:46:51<30:15:55, 11.79s/it] 8%|▊ | 760/10000 [2:47:03<30:43:04, 11.97s/it] 8%|▊ | 761/10000 [2:47:14<30:19:18, 11.81s/it] 8%|▊ | 762/10000 [2:47:27<31:04:10, 12.11s/it] 8%|▊ | 763/10000 [2:47:39<31:04:04, 12.11s/it] 8%|▊ | 764/10000 [2:47:51<30:51:58, 12.03s/it] 8%|▊ | 765/10000 [2:48:03<30:59:05, 12.08s/it] 8%|▊ | 766/10000 [2:48:16<31:25:21, 12.25s/it] 8%|▊ | 767/10000 [2:48:29<31:58:06, 12.46s/it] 8%|▊ | 768/10000 [2:48:42<32:36:22, 12.71s/it] 8%|▊ | 769/10000 [2:48:55<32:22:13, 12.62s/it] 8%|▊ | 770/10000 [2:49:06<31:40:09, 12.35s/it] 8%|▊ | 771/10000 [2:49:18<31:19:00, 12.22s/it] 8%|▊ | 772/10000 [2:49:31<31:18:28, 12.21s/it] 8%|▊ | 773/10000 [2:49:43<31:06:27, 12.14s/it] 8%|▊ | 774/10000 [2:49:55<30:59:44, 12.09s/it] 8%|▊ | 775/10000 [2:50:08<31:50:10, 12.42s/it] 8%|▊ | 775/10000 [2:50:08<31:50:10, 12.42s/it] 8%|▊ | 776/10000 [2:50:21<32:10:09, 12.56s/it] 8%|▊ | 777/10000 [2:50:32<31:40:54, 12.37s/it] 8%|▊ | 778/10000 [2:50:45<31:43:00, 12.38s/it] 8%|▊ | 779/10000 [2:50:57<31:40:01, 12.36s/it] 8%|▊ | 780/10000 [2:51:09<31:18:33, 12.22s/it] 8%|▊ | 781/10000 [2:51:22<31:37:16, 12.35s/it] 8%|▊ | 782/10000 [2:51:34<31:16:49, 12.22s/it] 8%|▊ | 783/10000 [2:51:47<32:17:20, 12.61s/it] 8%|▊ | 784/10000 [2:51:59<31:28:41, 12.30s/it] 8%|▊ | 785/10000 [2:52:11<31:41:01, 12.38s/it] 8%|▊ | 786/10000 [2:52:23<31:29:46, 12.31s/it] 8%|▊ | 787/10000 [2:52:36<31:32:05, 12.32s/it] 8%|▊ | 788/10000 [2:52:49<32:03:13, 12.53s/it] 8%|▊ | 789/10000 [2:53:01<32:04:09, 12.53s/it] 8%|▊ | 790/10000 [2:53:13<31:09:12, 12.18s/it] 8%|▊ | 791/10000 [2:53:26<32:08:48, 12.57s/it] 8%|▊ | 792/10000 [2:53:38<31:39:50, 12.38s/it] 8%|▊ | 793/10000 [2:53:51<32:02:31, 12.53s/it] 8%|▊ | 794/10000 [2:54:03<31:40:36, 12.39s/it] 8%|▊ | 795/10000 [2:54:15<31:03:17, 12.15s/it] 8%|▊ | 796/10000 [2:54:28<31:41:13, 12.39s/it] 8%|▊ | 797/10000 [2:54:40<31:25:53, 12.30s/it] 8%|▊ | 798/10000 [2:54:52<31:33:11, 12.34s/it] 8%|▊ | 799/10000 [2:55:05<31:36:48, 12.37s/it] 8%|▊ | 800/10000 [2:55:17<31:25:17, 12.30s/it] 8%|▊ | 800/10000 [2:55:17<31:25:17, 12.30s/it] 8%|▊ | 801/10000 [2:55:29<31:24:10, 12.29s/it] 8%|▊ | 802/10000 [2:55:41<31:17:06, 12.24s/it] 8%|▊ | 803/10000 [2:55:53<31:14:29, 12.23s/it] 8%|▊ | 804/10000 [2:56:06<31:25:44, 12.30s/it] 8%|▊ | 805/10000 [2:56:19<32:18:53, 12.65s/it] 8%|▊ | 806/10000 [2:56:31<31:38:18, 12.39s/it] 8%|▊ | 807/10000 [2:56:44<32:26:12, 12.70s/it] 8%|▊ | 808/10000 [2:56:56<31:35:47, 12.37s/it] 8%|▊ | 809/10000 [2:57:08<31:36:00, 12.38s/it] 8%|▊ | 810/10000 [2:57:20<31:15:16, 12.24s/it] 8%|▊ | 811/10000 [2:57:33<31:42:31, 12.42s/it] 8%|▊ | 812/10000 [2:57:46<31:57:33, 12.52s/it] 8%|▊ | 813/10000 [2:57:59<32:08:23, 12.59s/it] 8%|▊ | 814/10000 [2:58:12<32:30:30, 12.74s/it] 8%|▊ | 815/10000 [2:58:25<32:27:10, 12.72s/it] 8%|▊ | 816/10000 [2:58:37<31:53:43, 12.50s/it] 8%|▊ | 817/10000 [2:58:49<32:05:34, 12.58s/it] 8%|▊ | 818/10000 [2:59:01<31:13:23, 12.24s/it] 8%|▊ | 819/10000 [2:59:12<30:49:17, 12.09s/it] 8%|▊ | 820/10000 [2:59:25<31:13:00, 12.24s/it] 8%|▊ | 821/10000 [2:59:37<31:07:27, 12.21s/it] 8%|▊ | 822/10000 [2:59:49<31:00:36, 12.16s/it] 8%|▊ | 823/10000 [3:00:04<32:42:41, 12.83s/it] 8%|▊ | 824/10000 [3:00:16<32:21:43, 12.70s/it] 8%|▊ | 825/10000 [3:00:28<32:12:18, 12.64s/it] 8%|▊ | 825/10000 [3:00:29<32:12:18, 12.64s/it] 8%|▊ | 826/10000 [3:00:41<32:11:11, 12.63s/it] 8%|▊ | 827/10000 [3:00:53<31:54:18, 12.52s/it] 8%|▊ | 828/10000 [3:01:06<32:10:18, 12.63s/it] 8%|▊ | 829/10000 [3:01:19<32:23:17, 12.71s/it] 8%|▊ | 830/10000 [3:01:31<31:55:12, 12.53s/it] 8%|▊ | 831/10000 [3:01:44<32:04:52, 12.60s/it] 8%|▊ | 832/10000 [3:01:56<31:37:02, 12.42s/it] 8%|▊ | 833/10000 [3:02:08<31:07:31, 12.22s/it] 8%|▊ | 834/10000 [3:02:20<31:25:59, 12.35s/it] 8%|▊ | 835/10000 [3:02:31<30:14:02, 11.88s/it] 8%|▊ | 836/10000 [3:02:44<30:54:10, 12.14s/it] 8%|▊ | 837/10000 [3:02:56<30:36:00, 12.02s/it] 8%|▊ | 838/10000 [3:03:07<30:13:36, 11.88s/it] 8%|▊ | 839/10000 [3:03:19<29:58:26, 11.78s/it] 8%|▊ | 840/10000 [3:03:30<29:50:35, 11.73s/it] 8%|▊ | 841/10000 [3:03:43<30:08:13, 11.85s/it] 8%|▊ | 842/10000 [3:03:55<30:14:41, 11.89s/it] 8%|▊ | 843/10000 [3:04:06<29:38:07, 11.65s/it] 8%|▊ | 844/10000 [3:04:18<29:57:48, 11.78s/it] 8%|▊ | 845/10000 [3:04:29<29:36:19, 11.64s/it] 8%|▊ | 846/10000 [3:04:41<30:11:13, 11.87s/it] 8%|▊ | 847/10000 [3:04:54<30:57:44, 12.18s/it] 8%|▊ | 848/10000 [3:05:06<30:24:22, 11.96s/it] 8%|▊ | 849/10000 [3:05:18<30:22:59, 11.95s/it] 8%|▊ | 850/10000 [3:05:29<29:42:46, 11.69s/it] 8%|▊ | 850/10000 [3:05:29<29:42:46, 11.69s/it] 9%|▊ | 851/10000 [3:05:40<29:36:41, 11.65s/it] 9%|▊ | 852/10000 [3:05:52<29:45:16, 11.71s/it] 9%|▊ | 853/10000 [3:06:05<30:21:13, 11.95s/it] 9%|▊ | 854/10000 [3:06:17<30:26:40, 11.98s/it] 9%|▊ | 855/10000 [3:06:28<30:06:33, 11.85s/it] 9%|▊ | 856/10000 [3:06:39<29:33:05, 11.63s/it] 9%|▊ | 857/10000 [3:06:51<29:37:51, 11.67s/it] 9%|▊ | 858/10000 [3:07:03<30:01:34, 11.82s/it] 9%|▊ | 859/10000 [3:07:15<30:10:00, 11.88s/it] 9%|▊ | 860/10000 [3:07:28<30:51:23, 12.15s/it] 9%|▊ | 861/10000 [3:07:41<31:28:00, 12.40s/it] 9%|▊ | 862/10000 [3:07:52<30:31:55, 12.03s/it] 9%|▊ | 863/10000 [3:08:05<30:46:04, 12.12s/it] 9%|▊ | 864/10000 [3:08:18<31:41:39, 12.49s/it] 9%|▊ | 865/10000 [3:08:30<31:35:47, 12.45s/it] 9%|▊ | 866/10000 [3:08:42<30:59:08, 12.21s/it] 9%|▊ | 867/10000 [3:08:55<31:49:25, 12.54s/it] 9%|▊ | 868/10000 [3:09:08<31:59:02, 12.61s/it] 9%|▊ | 869/10000 [3:09:20<31:07:18, 12.27s/it] 9%|▊ | 870/10000 [3:09:32<31:31:32, 12.43s/it] 9%|▊ | 871/10000 [3:09:46<32:11:03, 12.69s/it] 9%|▊ | 872/10000 [3:09:58<31:33:42, 12.45s/it] 9%|▊ | 873/10000 [3:10:09<30:54:25, 12.19s/it] 9%|▊ | 874/10000 [3:10:21<30:42:34, 12.11s/it] 9%|▉ | 875/10000 [3:10:33<30:46:05, 12.14s/it] 9%|▉ | 875/10000 [3:10:33<30:46:05, 12.14s/it] 9%|▉ | 876/10000 [3:10:46<30:59:28, 12.23s/it] 9%|▉ | 877/10000 [3:10:59<31:36:52, 12.48s/it] 9%|▉ | 878/10000 [3:11:11<31:16:44, 12.34s/it] 9%|▉ | 879/10000 [3:11:23<31:09:16, 12.30s/it] 9%|▉ | 880/10000 [3:11:35<31:09:19, 12.30s/it] 9%|▉ | 881/10000 [3:11:49<32:35:08, 12.86s/it] 9%|▉ | 882/10000 [3:12:02<32:34:00, 12.86s/it] 9%|▉ | 883/10000 [3:12:16<33:01:40, 13.04s/it] 9%|▉ | 884/10000 [3:12:27<31:57:59, 12.62s/it] 9%|▉ | 885/10000 [3:12:40<32:14:24, 12.73s/it] 9%|▉ | 886/10000 [3:12:53<32:17:45, 12.76s/it] 9%|▉ | 887/10000 [3:13:06<32:07:36, 12.69s/it] 9%|▉ | 888/10000 [3:13:19<32:36:27, 12.88s/it] 9%|▉ | 889/10000 [3:13:31<32:06:38, 12.69s/it] 9%|▉ | 890/10000 [3:13:43<31:40:58, 12.52s/it] 9%|▉ | 891/10000 [3:13:55<30:46:24, 12.16s/it] 9%|▉ | 892/10000 [3:14:07<30:49:56, 12.19s/it] 9%|▉ | 893/10000 [3:14:19<30:47:25, 12.17s/it] 9%|▉ | 894/10000 [3:14:33<32:01:29, 12.66s/it] 9%|▉ | 895/10000 [3:14:45<31:37:44, 12.51s/it] 9%|▉ | 896/10000 [3:14:57<31:14:41, 12.36s/it] 9%|▉ | 897/10000 [3:15:09<30:58:28, 12.25s/it] 9%|▉ | 898/10000 [3:15:21<30:45:22, 12.16s/it] 9%|▉ | 899/10000 [3:15:33<30:43:05, 12.15s/it] 9%|▉ | 900/10000 [3:15:45<30:46:52, 12.18s/it] 9%|▉ | 900/10000 [3:15:45<30:46:52, 12.18s/it] 9%|▉ | 901/10000 [3:15:58<31:20:20, 12.40s/it] 9%|▉ | 902/10000 [3:16:11<31:15:49, 12.37s/it] 9%|▉ | 903/10000 [3:16:24<31:45:26, 12.57s/it] 9%|▉ | 904/10000 [3:16:36<31:21:43, 12.41s/it] 9%|▉ | 905/10000 [3:16:48<31:22:57, 12.42s/it] 9%|▉ | 906/10000 [3:17:00<31:09:10, 12.33s/it] 9%|▉ | 907/10000 [3:17:12<31:00:36, 12.28s/it] 9%|▉ | 908/10000 [3:17:25<30:58:40, 12.27s/it] 9%|▉ | 909/10000 [3:17:38<31:37:47, 12.53s/it] 9%|▉ | 910/10000 [3:17:50<31:27:17, 12.46s/it] 9%|▉ | 911/10000 [3:18:03<31:59:23, 12.67s/it] 9%|▉ | 912/10000 [3:18:15<31:01:17, 12.29s/it] 9%|▉ | 913/10000 [3:18:27<30:53:00, 12.24s/it] 9%|▉ | 914/10000 [3:18:38<30:18:55, 12.01s/it] 9%|▉ | 915/10000 [3:18:50<30:11:11, 11.96s/it] 9%|▉ | 916/10000 [3:19:01<29:38:37, 11.75s/it] 9%|▉ | 917/10000 [3:19:13<29:22:13, 11.64s/it] 9%|▉ | 918/10000 [3:19:24<29:16:41, 11.61s/it] 9%|▉ | 919/10000 [3:19:36<29:10:50, 11.57s/it] 9%|▉ | 920/10000 [3:19:48<30:00:43, 11.90s/it] 9%|▉ | 921/10000 [3:20:12<38:33:27, 15.29s/it] 9%|▉ | 922/10000 [3:20:23<35:29:19, 14.07s/it] 9%|▉ | 923/10000 [3:20:34<33:27:20, 13.27s/it] 9%|▉ | 924/10000 [3:20:47<32:53:38, 13.05s/it] 9%|▉ | 925/10000 [3:20:58<31:45:51, 12.60s/it] 9%|▉ | 925/10000 [3:20:58<31:45:51, 12.60s/it] 9%|▉ | 926/10000 [3:21:10<31:20:28, 12.43s/it] 9%|▉ | 927/10000 [3:21:21<30:13:47, 11.99s/it] 9%|▉ | 928/10000 [3:21:33<29:40:59, 11.78s/it] 9%|▉ | 929/10000 [3:21:45<30:18:26, 12.03s/it] 9%|▉ | 930/10000 [3:21:58<30:32:04, 12.12s/it] 9%|▉ | 931/10000 [3:22:10<30:29:10, 12.10s/it] 9%|▉ | 932/10000 [3:22:21<29:34:39, 11.74s/it] 9%|▉ | 933/10000 [3:22:32<29:02:09, 11.53s/it] 9%|▉ | 934/10000 [3:22:43<28:56:06, 11.49s/it] 9%|▉ | 935/10000 [3:22:55<29:10:51, 11.59s/it] 9%|▉ | 936/10000 [3:23:07<29:50:57, 11.86s/it] 9%|▉ | 937/10000 [3:23:20<30:19:17, 12.04s/it] 9%|▉ | 938/10000 [3:23:31<29:27:02, 11.70s/it] 9%|▉ | 939/10000 [3:23:43<29:57:54, 11.91s/it] 9%|▉ | 940/10000 [3:23:55<30:14:37, 12.02s/it] 9%|▉ | 941/10000 [3:24:07<29:58:46, 11.91s/it] 9%|▉ | 942/10000 [3:24:18<29:31:44, 11.74s/it] 9%|▉ | 943/10000 [3:24:30<29:14:01, 11.62s/it] 9%|▉ | 944/10000 [3:24:43<30:08:40, 11.98s/it] 9%|▉ | 945/10000 [3:24:54<29:35:50, 11.77s/it] 9%|▉ | 946/10000 [3:25:05<28:52:31, 11.48s/it] 9%|▉ | 947/10000 [3:25:16<28:37:13, 11.38s/it] 9%|▉ | 948/10000 [3:25:27<28:32:50, 11.35s/it] 9%|▉ | 949/10000 [3:25:38<28:14:02, 11.23s/it] 10%|▉ | 950/10000 [3:25:50<28:30:16, 11.34s/it] 10%|▉ | 950/10000 [3:25:50<28:30:16, 11.34s/it] 10%|▉ | 951/10000 [3:26:01<28:53:31, 11.49s/it] 10%|▉ | 952/10000 [3:26:14<29:29:25, 11.73s/it] 10%|▉ | 953/10000 [3:26:25<29:26:04, 11.71s/it] 10%|▉ | 954/10000 [3:26:36<28:57:54, 11.53s/it] 10%|▉ | 955/10000 [3:26:49<29:35:29, 11.78s/it] 10%|▉ | 956/10000 [3:27:01<29:57:42, 11.93s/it] 10%|▉ | 957/10000 [3:27:16<32:14:42, 12.84s/it] 10%|▉ | 958/10000 [3:27:28<31:47:51, 12.66s/it] 10%|▉ | 959/10000 [3:27:39<30:40:50, 12.22s/it] 10%|▉ | 960/10000 [3:27:51<29:47:50, 11.87s/it] 10%|▉ | 961/10000 [3:28:02<29:28:21, 11.74s/it] 10%|▉ | 962/10000 [3:28:14<29:58:12, 11.94s/it] 10%|▉ | 963/10000 [3:28:26<29:37:35, 11.80s/it] 10%|▉ | 964/10000 [3:28:37<28:47:58, 11.47s/it] 10%|▉ | 965/10000 [3:28:48<29:06:12, 11.60s/it] 10%|▉ | 966/10000 [3:28:59<28:16:58, 11.27s/it] 10%|▉ | 967/10000 [3:29:11<28:45:22, 11.46s/it] 10%|▉ | 968/10000 [3:29:22<28:16:22, 11.27s/it] 10%|▉ | 969/10000 [3:29:35<29:32:28, 11.78s/it] 10%|▉ | 970/10000 [3:29:46<29:16:15, 11.67s/it] 10%|▉ | 971/10000 [3:29:59<30:24:08, 12.12s/it] 10%|▉ | 972/10000 [3:30:11<30:15:50, 12.07s/it] 10%|▉ | 973/10000 [3:30:22<29:35:20, 11.80s/it] 10%|▉ | 974/10000 [3:30:35<30:07:34, 12.02s/it] 10%|▉ | 975/10000 [3:30:47<29:55:30, 11.94s/it] 10%|▉ | 975/10000 [3:30:47<29:55:30, 11.94s/it] 10%|▉ | 976/10000 [3:30:57<28:52:34, 11.52s/it] 10%|▉ | 977/10000 [3:31:09<28:55:22, 11.54s/it] 10%|▉ | 978/10000 [3:31:20<29:02:43, 11.59s/it] 10%|▉ | 979/10000 [3:31:32<28:56:16, 11.55s/it] 10%|▉ | 980/10000 [3:31:46<30:30:17, 12.17s/it] 10%|▉ | 981/10000 [3:31:57<29:41:23, 11.85s/it] 10%|▉ | 982/10000 [3:32:09<30:00:22, 11.98s/it] 10%|▉ | 983/10000 [3:32:21<29:46:27, 11.89s/it] 10%|▉ | 984/10000 [3:32:33<29:46:11, 11.89s/it] 10%|▉ | 985/10000 [3:32:45<29:53:07, 11.93s/it] 10%|▉ | 986/10000 [3:32:56<29:40:11, 11.85s/it] 10%|▉ | 987/10000 [3:33:07<28:59:53, 11.58s/it] 10%|▉ | 988/10000 [3:33:20<30:04:20, 12.01s/it] 10%|▉ | 989/10000 [3:33:31<29:26:50, 11.76s/it] 10%|▉ | 990/10000 [3:33:44<30:03:06, 12.01s/it] 10%|▉ | 991/10000 [3:33:56<30:10:50, 12.06s/it] 10%|▉ | 992/10000 [3:34:08<30:18:56, 12.12s/it] 10%|▉ | 993/10000 [3:34:20<30:15:07, 12.09s/it] 10%|▉ | 994/10000 [3:34:33<30:20:16, 12.13s/it] 10%|▉ | 995/10000 [3:34:45<30:22:44, 12.14s/it] 10%|▉ | 996/10000 [3:34:57<30:24:05, 12.16s/it] 10%|▉ | 997/10000 [3:35:10<30:46:31, 12.31s/it] 10%|▉ | 998/10000 [3:35:22<30:42:48, 12.28s/it] 10%|▉ | 999/10000 [3:35:36<32:09:59, 12.87s/it] 10%|█ | 1000/10000 [3:35:48<31:19:36, 12.53s/it] 10%|█ | 1000/10000 [3:35:48<31:19:36, 12.53s/it][INFO|trainer.py:2955] 2022-12-16 19:03:28,693 >> ***** Running Evaluation ***** [INFO|trainer.py:2959] 2022-12-16 19:03:28,693 >> Num examples: Unknown [INFO|trainer.py:2960] 2022-12-16 19:03:28,693 >> Batch size = 32 [INFO|trainer_utils.py:689] 2022-12-16 19:03:31,706 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length, speaker_id, duration, gender, age. If input_length, speaker_id, duration, gender, age are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. 10%|█ | 1000/10000 [3:48:29<31:19:36, 12.53s/it][INFO|trainer.py:2700] 2022-12-16 19:16:09,867 >> Saving model checkpoint to ./checkpoint-1000 [INFO|configuration_utils.py:447] 2022-12-16 19:16:09,868 >> Configuration saved in ./checkpoint-1000/config.json [INFO|modeling_utils.py:1680] 2022-12-16 19:16:12,439 >> Model weights saved in ./checkpoint-1000/pytorch_model.bin [INFO|feature_extraction_utils.py:368] 2022-12-16 19:16:12,454 >> Feature extractor saved in ./checkpoint-1000/preprocessor_config.json [INFO|feature_extraction_utils.py:368] 2022-12-16 19:16:19,376 >> Feature extractor saved in ./preprocessor_config.json 10%|█ | 1001/10000 [3:49:11<624:35:07, 249.86s/it] 10%|█ | 1002/10000 [3:49:23<446:04:00, 178.47s/it] 10%|█ | 1003/10000 [3:49:36<321:25:18, 128.61s/it] 10%|█ | 1004/10000 [3:49:47<233:41:48, 93.52s/it] 10%|█ | 1005/10000 [3:50:00<172:55:17, 69.21s/it] 10%|█ | 1006/10000 [3:50:12<130:29:23, 52.23s/it] 10%|█ | 1007/10000 [3:50:24<100:22:03, 40.18s/it] 10%|█ | 1008/10000 [3:50:37<79:20:17, 31.76s/it] 10%|█ | 1009/10000 [3:50:49<64:37:37, 25.88s/it] 10%|█ | 1010/10000 [3:51:02<55:20:03, 22.16s/it] 10%|█ | 1011/10000 [3:51:15<48:22:27, 19.37s/it] 10%|█ | 1012/10000 [3:51:28<43:26:45, 17.40s/it] 10%|█ | 1013/10000 [3:51:40<39:21:36, 15.77s/it] 10%|█ | 1014/10000 [3:51:52<36:38:06, 14.68s/it] 10%|█ | 1015/10000 [3:52:04<34:58:30, 14.01s/it] 10%|█ | 1016/10000 [3:52:16<32:54:47, 13.19s/it] 10%|█ | 1017/10000 [3:52:28<32:27:53, 13.01s/it] 10%|█ | 1018/10000 [3:52:40<31:30:32, 12.63s/it] 10%|█ | 1019/10000 [3:52:52<31:02:23, 12.44s/it] 10%|█ | 1020/10000 [3:53:04<30:50:23, 12.36s/it] 10%|█ | 1021/10000 [3:53:16<30:19:58, 12.16s/it] 10%|█ | 1022/10000 [3:53:28<30:20:05, 12.16s/it] 10%|█ | 1023/10000 [3:53:41<30:52:03, 12.38s/it] 10%|█ | 1024/10000 [3:53:52<30:15:22, 12.13s/it] 10%|█ | 1025/10000 [3:54:05<30:15:06, 12.13s/it] 10%|█ | 1025/10000 [3:54:05<30:15:06, 12.13s/it] 10%|█ | 1026/10000 [3:54:17<30:17:02, 12.15s/it] 10%|█ | 1027/10000 [3:54:29<29:57:52, 12.02s/it] 10%|█ | 1028/10000 [3:54:42<30:46:51, 12.35s/it] 10%|█ | 1029/10000 [3:54:55<31:10:29, 12.51s/it] 10%|█ | 1030/10000 [3:55:08<31:44:28, 12.74s/it] 10%|█ | 1031/10000 [3:55:19<30:55:15, 12.41s/it] 10%|█ | 1032/10000 [3:55:32<31:10:47, 12.52s/it] 10%|█ | 1033/10000 [3:55:45<31:03:58, 12.47s/it] 10%|█ | 1034/10000 [3:55:57<30:50:23, 12.38s/it] 10%|█ | 1035/10000 [3:56:09<30:28:51, 12.24s/it] 10%|█ | 1036/10000 [3:56:21<30:42:17, 12.33s/it] 10%|█ | 1037/10000 [3:56:35<31:25:29, 12.62s/it] 10%|█ | 1038/10000 [3:56:47<31:16:28, 12.56s/it] 10%|█ | 1039/10000 [3:56:59<30:37:07, 12.30s/it] 10%|█ | 1040/10000 [3:57:11<30:50:55, 12.39s/it] 10%|█ | 1041/10000 [3:57:23<30:37:23, 12.31s/it] 10%|█ | 1042/10000 [3:57:35<30:12:46, 12.14s/it] 10%|█ | 1043/10000 [3:57:47<30:23:33, 12.22s/it] 10%|█ | 1044/10000 [3:58:00<30:18:25, 12.18s/it] 10%|█ | 1045/10000 [3:58:11<29:53:10, 12.01s/it] 10%|█ | 1046/10000 [3:58:24<30:10:05, 12.13s/it] 10%|█ | 1047/10000 [3:58:36<30:07:25, 12.11s/it] 10%|█ | 1048/10000 [3:58:49<30:44:18, 12.36s/it] 10%|█ | 1049/10000 [3:59:01<30:30:05, 12.27s/it] 10%|█ | 1050/10000 [3:59:13<30:23:49, 12.23s/it] 10%|█ | 1050/10000 [3:59:13<30:23:49, 12.23s/it] 11%|█ | 1051/10000 [3:59:25<30:04:53, 12.10s/it] 11%|█ | 1052/10000 [3:59:37<30:22:13, 12.22s/it] 11%|█ | 1053/10000 [3:59:49<29:57:28, 12.05s/it] 11%|█ | 1054/10000 [4:00:01<29:44:26, 11.97s/it] 11%|█ | 1055/10000 [4:00:12<29:36:25, 11.92s/it] 11%|█ | 1056/10000 [4:00:24<29:22:51, 11.83s/it] 11%|█ | 1057/10000 [4:00:36<29:54:11, 12.04s/it] 11%|█ | 1058/10000 [4:00:49<30:20:48, 12.22s/it] 11%|█ | 1059/10000 [4:01:01<30:04:32, 12.11s/it] 11%|█ | 1060/10000 [4:01:13<29:53:01, 12.03s/it] 11%|█ | 1061/10000 [4:01:25<30:00:07, 12.08s/it] 11%|█ | 1062/10000 [4:01:38<30:55:02, 12.45s/it] 11%|█ | 1063/10000 [4:01:50<30:34:56, 12.32s/it] 11%|█ | 1064/10000 [4:02:03<30:42:01, 12.37s/it] 11%|█ | 1065/10000 [4:02:14<30:08:41, 12.15s/it] 11%|█ | 1066/10000 [4:02:26<29:39:13, 11.95s/it] 11%|█ | 1067/10000 [4:02:38<29:50:29, 12.03s/it] 11%|█ | 1068/10000 [4:02:51<30:09:22, 12.15s/it] 11%|█ | 1069/10000 [4:03:02<29:41:14, 11.97s/it] 11%|█ | 1070/10000 [4:03:13<29:08:45, 11.75s/it] 11%|█ | 1071/10000 [4:03:25<28:49:13, 11.62s/it] 11%|█ | 1072/10000 [4:03:37<29:21:58, 11.84s/it] 11%|█ | 1073/10000 [4:03:49<29:10:47, 11.77s/it] 11%|█ | 1074/10000 [4:04:01<29:35:43, 11.94s/it] 11%|█ | 1075/10000 [4:04:12<28:59:50, 11.70s/it] 11%|█ | 1075/10000 [4:04:12<28:59:50, 11.70s/it] 11%|█ | 1076/10000 [4:04:25<29:40:12, 11.97s/it] 11%|█ | 1077/10000 [4:04:37<29:46:22, 12.01s/it] 11%|█ | 1078/10000 [4:04:48<28:51:45, 11.65s/it] 11%|█ | 1079/10000 [4:04:59<28:55:09, 11.67s/it] 11%|█ | 1080/10000 [4:05:11<28:54:58, 11.67s/it] 11%|█ | 1081/10000 [4:05:22<28:44:51, 11.60s/it] 11%|█ | 1082/10000 [4:05:35<29:15:44, 11.81s/it] 11%|█ | 1083/10000 [4:05:47<29:12:15, 11.79s/it] 11%|█ | 1084/10000 [4:05:58<28:42:41, 11.59s/it] 11%|█ | 1085/10000 [4:06:10<29:11:01, 11.78s/it] 11%|█ | 1086/10000 [4:06:21<28:28:16, 11.50s/it] 11%|█ | 1087/10000 [4:06:34<29:42:02, 12.00s/it] 11%|█ | 1088/10000 [4:06:45<29:10:31, 11.79s/it] 11%|█ | 1089/10000 [4:06:56<28:38:49, 11.57s/it] 11%|█ | 1090/10000 [4:07:10<30:04:22, 12.15s/it] 11%|█ | 1091/10000 [4:07:21<29:37:41, 11.97s/it] 11%|█ | 1092/10000 [4:07:33<29:09:36, 11.78s/it] 11%|█ | 1093/10000 [4:07:45<29:25:34, 11.89s/it] 11%|█ | 1094/10000 [4:07:57<29:28:38, 11.92s/it] 11%|█ | 1095/10000 [4:08:09<29:40:11, 11.99s/it] 11%|█ | 1096/10000 [4:08:21<29:30:14, 11.93s/it] 11%|█ | 1097/10000 [4:08:32<28:40:57, 11.60s/it] 11%|█ | 1098/10000 [4:08:42<28:07:02, 11.37s/it] 11%|█ | 1099/10000 [4:08:53<27:50:13, 11.26s/it] 11%|█ | 1100/10000 [4:09:05<28:03:26, 11.35s/it] 11%|█ | 1100/10000 [4:09:05<28:03:26, 11.35s/it] 11%|█ | 1101/10000 [4:09:17<28:48:54, 11.66s/it] 11%|█ | 1102/10000 [4:09:29<28:33:59, 11.56s/it] 11%|█ | 1103/10000 [4:09:41<28:56:38, 11.71s/it] 11%|█ | 1104/10000 [4:09:53<29:28:20, 11.93s/it] 11%|█ | 1105/10000 [4:10:06<30:11:51, 12.22s/it] 11%|█ | 1106/10000 [4:10:18<29:40:40, 12.01s/it] 11%|█ | 1107/10000 [4:10:29<29:29:09, 11.94s/it] 11%|█ | 1108/10000 [4:10:41<28:58:58, 11.73s/it] 11%|█ | 1109/10000 [4:10:52<28:32:30, 11.56s/it] 11%|█ | 1110/10000 [4:11:03<28:26:10, 11.52s/it] 11%|█ | 1111/10000 [4:11:15<28:41:22, 11.62s/it] 11%|█ | 1112/10000 [4:11:26<28:18:14, 11.46s/it] 11%|█ | 1113/10000 [4:11:39<28:59:43, 11.75s/it] 11%|█ | 1114/10000 [4:11:50<29:02:53, 11.77s/it] 11%|█ | 1115/10000 [4:12:02<29:11:33, 11.83s/it] 11%|█ | 1116/10000 [4:12:16<30:23:53, 12.32s/it] 11%|█ | 1117/10000 [4:12:28<30:29:43, 12.36s/it] 11%|█ | 1118/10000 [4:12:40<30:10:36, 12.23s/it] 11%|█ | 1119/10000 [4:12:53<30:15:45, 12.27s/it] 11%|█ | 1120/10000 [4:13:05<30:08:37, 12.22s/it] 11%|█ | 1121/10000 [4:13:16<29:42:56, 12.05s/it] 11%|█ | 1122/10000 [4:13:30<30:55:32, 12.54s/it] 11%|█ | 1123/10000 [4:13:42<30:28:03, 12.36s/it] 11%|█ | 1124/10000 [4:13:56<31:24:44, 12.74s/it] 11%|█▏ | 1125/10000 [4:14:09<31:37:30, 12.83s/it] 11%|█▏ | 1125/10000 [4:14:09<31:37:30, 12.83s/it] 11%|█▏ | 1126/10000 [4:14:21<31:01:11, 12.58s/it] 11%|█▏ | 1127/10000 [4:14:32<30:19:28, 12.30s/it] 11%|█▏ | 1128/10000 [4:14:44<30:12:03, 12.25s/it] 11%|█▏ | 1129/10000 [4:14:57<30:19:26, 12.31s/it] 11%|█▏ | 1130/10000 [4:15:09<30:27:07, 12.36s/it] 11%|█▏ | 1131/10000 [4:15:23<31:11:23, 12.66s/it] 11%|█▏ | 1132/10000 [4:15:36<31:28:36, 12.78s/it] 11%|█▏ | 1133/10000 [4:15:48<31:20:51, 12.73s/it] 11%|█▏ | 1134/10000 [4:16:00<30:24:26, 12.35s/it] 11%|█▏ | 1135/10000 [4:16:12<30:25:27, 12.36s/it] 11%|█▏ | 1136/10000 [4:16:24<30:16:09, 12.29s/it] 11%|█▏ | 1137/10000 [4:16:36<30:00:33, 12.19s/it] 11%|█▏ | 1138/10000 [4:16:48<29:52:21, 12.14s/it] 11%|█▏ | 1139/10000 [4:17:01<30:18:48, 12.32s/it] 11%|█▏ | 1140/10000 [4:17:13<29:55:55, 12.16s/it] 11%|█▏ | 1141/10000 [4:17:26<30:24:48, 12.36s/it] 11%|█▏ | 1142/10000 [4:17:38<30:16:54, 12.31s/it] 11%|█▏ | 1143/10000 [4:17:49<29:51:05, 12.13s/it] 11%|█▏ | 1144/10000 [4:18:02<29:59:38, 12.19s/it] 11%|█▏ | 1145/10000 [4:18:13<29:25:14, 11.96s/it] 11%|█▏ | 1146/10000 [4:18:26<30:13:24, 12.29s/it] 11%|█▏ | 1147/10000 [4:18:38<30:00:20, 12.20s/it] 11%|█▏ | 1148/10000 [4:18:50<29:35:41, 12.04s/it] 11%|█▏ | 1149/10000 [4:19:02<29:49:57, 12.13s/it] 12%|█▏ | 1150/10000 [4:19:14<29:47:52, 12.12s/it] 12%|█▏ | 1150/10000 [4:19:14<29:47:52, 12.12s/it] 12%|█▏ | 1151/10000 [4:19:27<29:55:34, 12.17s/it] 12%|█▏ | 1152/10000 [4:19:38<29:16:43, 11.91s/it] 12%|█▏ | 1153/10000 [4:19:50<29:22:07, 11.95s/it] 12%|█▏ | 1154/10000 [4:20:02<29:24:44, 11.97s/it] 12%|█▏ | 1155/10000 [4:20:14<29:01:53, 11.82s/it] 12%|█▏ | 1156/10000 [4:20:25<28:36:19, 11.64s/it] 12%|█▏ | 1157/10000 [4:20:37<28:42:10, 11.69s/it] 12%|█▏ | 1158/10000 [4:20:47<28:06:43, 11.45s/it] 12%|█▏ | 1159/10000 [4:20:59<28:18:36, 11.53s/it] 12%|█▏ | 1160/10000 [4:21:11<28:11:58, 11.48s/it] 12%|█▏ | 1161/10000 [4:21:22<28:26:20, 11.58s/it] 12%|█▏ | 1162/10000 [4:21:34<28:18:19, 11.53s/it] 12%|█▏ | 1163/10000 [4:21:45<27:59:49, 11.41s/it] 12%|█▏ | 1164/10000 [4:21:56<27:54:43, 11.37s/it] 12%|█▏ | 1165/10000 [4:22:09<28:49:09, 11.74s/it] 12%|█▏ | 1166/10000 [4:22:19<28:03:29, 11.43s/it] 12%|█▏ | 1167/10000 [4:22:31<28:00:22, 11.41s/it] 12%|█▏ | 1168/10000 [4:22:42<27:58:04, 11.40s/it] 12%|█▏ | 1169/10000 [4:22:54<27:54:04, 11.37s/it] 12%|█▏ | 1170/10000 [4:23:05<27:49:01, 11.34s/it] 12%|█▏ | 1171/10000 [4:23:16<27:44:41, 11.31s/it] 12%|█▏ | 1172/10000 [4:23:28<27:58:56, 11.41s/it] 12%|█▏ | 1173/10000 [4:23:39<27:51:07, 11.36s/it] 12%|█▏ | 1174/10000 [4:23:50<27:48:04, 11.34s/it] 12%|█▏ | 1175/10000 [4:24:01<27:42:40, 11.30s/it] 12%|█▏ | 1175/10000 [4:24:01<27:42:40, 11.30s/it] 12%|█▏ | 1176/10000 [4:24:13<27:43:01, 11.31s/it] 12%|█▏ | 1177/10000 [4:24:26<28:55:29, 11.80s/it] 12%|█▏ | 1178/10000 [4:24:37<28:15:56, 11.53s/it] 12%|█▏ | 1179/10000 [4:24:48<28:08:26, 11.48s/it] 12%|█▏ | 1180/10000 [4:24:59<28:04:26, 11.46s/it] 12%|█▏ | 1181/10000 [4:25:12<29:16:45, 11.95s/it] 12%|█▏ | 1182/10000 [4:25:24<28:58:14, 11.83s/it] 12%|█▏ | 1183/10000 [4:25:36<29:08:39, 11.90s/it] 12%|█▏ | 1184/10000 [4:25:47<28:28:22, 11.63s/it] 12%|█▏ | 1185/10000 [4:25:58<28:10:36, 11.51s/it] 12%|█▏ | 1186/10000 [4:26:11<29:15:13, 11.95s/it] 12%|█▏ | 1187/10000 [4:26:22<28:37:07, 11.69s/it] 12%|█▏ | 1188/10000 [4:26:35<29:14:19, 11.95s/it] 12%|█▏ | 1189/10000 [4:26:46<28:53:48, 11.81s/it] 12%|█▏ | 1190/10000 [4:26:58<28:32:53, 11.67s/it] 12%|█▏ | 1191/10000 [4:27:09<28:11:04, 11.52s/it] 12%|█▏ | 1192/10000 [4:27:21<28:35:39, 11.69s/it] 12%|█▏ | 1193/10000 [4:27:32<28:04:26, 11.48s/it] 12%|█▏ | 1194/10000 [4:27:44<28:13:21, 11.54s/it] 12%|█▏ | 1195/10000 [4:27:55<28:15:54, 11.56s/it] 12%|█▏ | 1196/10000 [4:28:07<28:43:05, 11.74s/it] 12%|█▏ | 1197/10000 [4:28:19<28:29:09, 11.65s/it] 12%|█▏ | 1198/10000 [4:28:32<29:33:34, 12.09s/it] 12%|█▏ | 1199/10000 [4:28:43<29:05:33, 11.90s/it] 12%|█▏ | 1200/10000 [4:28:54<28:23:00, 11.61s/it] 12%|█▏ | 1200/10000 [4:28:54<28:23:00, 11.61s/it] 12%|█▏ | 1201/10000 [4:29:06<28:33:52, 11.69s/it] 12%|█▏ | 1202/10000 [4:29:17<28:01:11, 11.47s/it] 12%|█▏ | 1203/10000 [4:29:29<28:13:13, 11.55s/it] 12%|█▏ | 1204/10000 [4:29:41<28:22:05, 11.61s/it] 12%|█▏ | 1205/10000 [4:29:52<27:52:58, 11.41s/it] 12%|█▏ | 1206/10000 [4:30:05<29:04:58, 11.91s/it] 12%|█▏ | 1207/10000 [4:30:18<30:07:52, 12.34s/it] 12%|█▏ | 1208/10000 [4:30:30<29:38:49, 12.14s/it] 12%|█▏ | 1209/10000 [4:30:43<30:09:51, 12.35s/it] 12%|█▏ | 1210/10000 [4:30:54<29:10:55, 11.95s/it] 12%|█▏ | 1211/10000 [4:31:05<29:07:18, 11.93s/it] 12%|█▏ | 1212/10000 [4:31:16<28:09:58, 11.54s/it] 12%|█▏ | 1213/10000 [4:31:29<29:12:21, 11.97s/it] 12%|█▏ | 1214/10000 [4:31:41<28:55:19, 11.85s/it] 12%|█▏ | 1215/10000 [4:31:52<28:42:22, 11.76s/it] 12%|█▏ | 1216/10000 [4:32:04<28:46:30, 11.79s/it] 12%|█▏ | 1217/10000 [4:32:16<28:38:42, 11.74s/it] 12%|█▏ | 1218/10000 [4:32:27<28:42:22, 11.77s/it] 12%|█▏ | 1219/10000 [4:32:40<29:06:11, 11.93s/it] 12%|█▏ | 1220/10000 [4:32:52<29:34:09, 12.12s/it] 12%|█▏ | 1221/10000 [4:33:04<29:25:43, 12.07s/it] 12%|█▏ | 1222/10000 [4:33:16<29:09:16, 11.96s/it] 12%|█▏ | 1223/10000 [4:33:29<30:12:28, 12.39s/it] 12%|█▏ | 1224/10000 [4:33:41<29:53:12, 12.26s/it] 12%|█▏ | 1225/10000 [4:33:54<30:21:17, 12.45s/it] 12%|█▏ | 1225/10000 [4:33:54<30:21:17, 12.45s/it] 12%|█▏ | 1226/10000 [4:34:06<30:06:40, 12.35s/it] 12%|█▏ | 1227/10000 [4:34:18<29:35:49, 12.15s/it] 12%|█▏ | 1228/10000 [4:34:30<29:43:10, 12.20s/it] 12%|█▏ | 1229/10000 [4:34:42<29:15:52, 12.01s/it] 12%|█▏ | 1230/10000 [4:34:54<29:34:16, 12.14s/it] 12%|█▏ | 1231/10000 [4:35:07<29:51:16, 12.26s/it] 12%|█▏ | 1232/10000 [4:35:19<29:52:19, 12.27s/it] 12%|█▏ | 1233/10000 [4:35:31<29:21:18, 12.05s/it] 12%|█▏ | 1234/10000 [4:35:44<29:58:36, 12.31s/it] 12%|█▏ | 1235/10000 [4:35:56<30:00:35, 12.33s/it] 12%|█▏ | 1236/10000 [4:36:08<29:41:53, 12.20s/it] 12%|█▏ | 1237/10000 [4:36:20<29:18:03, 12.04s/it] 12%|█▏ | 1238/10000 [4:36:32<29:23:27, 12.08s/it] 12%|█▏ | 1239/10000 [4:36:44<29:30:24, 12.12s/it] 12%|█▏ | 1240/10000 [4:36:57<29:58:15, 12.32s/it] 12%|█▏ | 1241/10000 [4:37:10<30:16:21, 12.44s/it] 12%|█▏ | 1242/10000 [4:37:22<30:01:42, 12.34s/it] 12%|█▏ | 1243/10000 [4:37:34<30:15:17, 12.44s/it] 12%|█▏ | 1244/10000 [4:37:46<29:47:59, 12.25s/it] 12%|█▏ | 1245/10000 [4:37:58<29:42:45, 12.22s/it] 12%|█▏ | 1246/10000 [4:38:11<29:50:19, 12.27s/it] 12%|█▏ | 1247/10000 [4:38:23<30:13:38, 12.43s/it] 12%|█▏ | 1248/10000 [4:38:36<30:32:42, 12.56s/it] 12%|█▏ | 1249/10000 [4:38:48<29:44:45, 12.24s/it] 12%|█▎ | 1250/10000 [4:39:00<29:37:47, 12.19s/it] 12%|█▎ | 1250/10000 [4:39:00<29:37:47, 12.19s/it] 13%|█▎ | 1251/10000 [4:39:12<29:19:37, 12.07s/it] 13%|█▎ | 1252/10000 [4:39:25<30:15:00, 12.45s/it] 13%|█▎ | 1253/10000 [4:39:38<30:27:21, 12.53s/it] 13%|█▎ | 1254/10000 [4:39:50<29:59:32, 12.35s/it] 13%|█▎ | 1255/10000 [4:40:02<29:56:52, 12.33s/it] 13%|█▎ | 1256/10000 [4:40:14<29:46:26, 12.26s/it] 13%|█▎ | 1257/10000 [4:40:25<28:56:21, 11.92s/it] 13%|█▎ | 1258/10000 [4:40:36<28:02:03, 11.54s/it] 13%|█▎ | 1259/10000 [4:40:48<28:11:42, 11.61s/it] 13%|█▎ | 1260/10000 [4:41:00<28:57:07, 11.93s/it] 13%|█▎ | 1261/10000 [4:41:13<29:22:38, 12.10s/it] 13%|█▎ | 1262/10000 [4:41:26<30:25:10, 12.53s/it] 13%|█▎ | 1263/10000 [4:41:38<29:37:47, 12.21s/it] 13%|█▎ | 1264/10000 [4:41:50<29:22:49, 12.11s/it] 13%|█▎ | 1265/10000 [4:42:03<30:08:04, 12.42s/it] 13%|█▎ | 1266/10000 [4:42:14<29:10:48, 12.03s/it] 13%|█▎ | 1267/10000 [4:42:25<28:42:26, 11.83s/it] 13%|█▎ | 1268/10000 [4:42:37<28:32:40, 11.77s/it] 13%|█▎ | 1269/10000 [4:42:51<30:10:00, 12.44s/it] 13%|█▎ | 1270/10000 [4:43:02<29:28:04, 12.15s/it] 13%|█▎ | 1271/10000 [4:43:14<28:44:42, 11.86s/it] 13%|█▎ | 1272/10000 [4:43:25<28:09:37, 11.62s/it] 13%|█▎ | 1273/10000 [4:43:36<28:04:24, 11.58s/it] 13%|█▎ | 1274/10000 [4:43:49<29:04:10, 11.99s/it] 13%|█▎ | 1275/10000 [4:44:03<30:52:23, 12.74s/it] 13%|█▎ | 1275/10000 [4:44:03<30:52:23, 12.74s/it] 13%|█▎ | 1276/10000 [4:44:15<30:19:43, 12.52s/it] 13%|█▎ | 1277/10000 [4:44:27<29:51:22, 12.32s/it] 13%|█▎ | 1278/10000 [4:44:42<31:22:52, 12.95s/it] 13%|█▎ | 1279/10000 [4:44:53<30:26:54, 12.57s/it] 13%|█▎ | 1280/10000 [4:45:06<30:09:16, 12.45s/it] 13%|█▎ | 1281/10000 [4:45:17<29:30:05, 12.18s/it] 13%|█▎ | 1282/10000 [4:45:29<29:05:17, 12.01s/it] 13%|█▎ | 1283/10000 [4:45:41<28:55:54, 11.95s/it] 13%|█▎ | 1284/10000 [4:45:54<29:44:24, 12.28s/it] 13%|█▎ | 1285/10000 [4:46:05<29:13:08, 12.07s/it] 13%|█▎ | 1286/10000 [4:46:16<28:36:51, 11.82s/it] 13%|█▎ | 1287/10000 [4:46:28<28:11:11, 11.65s/it] 13%|█▎ | 1288/10000 [4:46:42<30:26:08, 12.58s/it] 13%|█▎ | 1289/10000 [4:46:54<29:33:46, 12.22s/it] 13%|█▎ | 1290/10000 [4:47:05<28:57:04, 11.97s/it] 13%|█▎ | 1291/10000 [4:47:17<28:36:01, 11.82s/it] 13%|█▎ | 1292/10000 [4:47:28<28:05:25, 11.61s/it] 13%|█▎ | 1293/10000 [4:47:40<28:29:12, 11.78s/it] 13%|█▎ | 1294/10000 [4:47:51<27:55:46, 11.55s/it] 13%|█▎ | 1295/10000 [4:48:03<28:34:07, 11.81s/it] 13%|█▎ | 1296/10000 [4:48:16<28:48:51, 11.92s/it] 13%|█▎ | 1297/10000 [4:48:29<29:44:19, 12.30s/it] 13%|█▎ | 1298/10000 [4:48:42<30:10:15, 12.48s/it] 13%|█▎ | 1299/10000 [4:48:53<29:31:11, 12.21s/it] 13%|█▎ | 1300/10000 [4:49:05<29:14:06, 12.10s/it] 13%|█▎ | 1300/10000 [4:49:05<29:14:06, 12.10s/it] 13%|█▎ | 1301/10000 [4:49:18<29:27:01, 12.19s/it] 13%|█▎ | 1302/10000 [4:49:30<29:28:09, 12.20s/it] 13%|█▎ | 1303/10000 [4:49:43<30:01:37, 12.43s/it] 13%|█▎ | 1304/10000 [4:49:54<29:30:35, 12.22s/it] 13%|█▎ | 1305/10000 [4:50:07<29:58:07, 12.41s/it] 13%|█▎ | 1306/10000 [4:50:20<30:25:45, 12.60s/it] 13%|█▎ | 1307/10000 [4:50:33<30:47:31, 12.75s/it] 13%|█▎ | 1308/10000 [4:50:46<30:46:18, 12.74s/it] 13%|█▎ | 1309/10000 [4:50:59<30:29:09, 12.63s/it] 13%|█▎ | 1310/10000 [4:51:10<29:41:04, 12.30s/it] 13%|█▎ | 1311/10000 [4:51:23<30:10:49, 12.50s/it] 13%|█▎ | 1312/10000 [4:51:35<29:49:00, 12.36s/it] 13%|█▎ | 1313/10000 [4:51:47<29:36:04, 12.27s/it] 13%|█▎ | 1314/10000 [4:52:00<30:01:33, 12.44s/it] 13%|█▎ | 1315/10000 [4:52:12<29:50:08, 12.37s/it] 13%|█▎ | 1316/10000 [4:52:26<30:48:51, 12.77s/it] 13%|█▎ | 1317/10000 [4:52:37<29:48:51, 12.36s/it] 13%|█▎ | 1318/10000 [4:52:49<29:37:06, 12.28s/it] 13%|█▎ | 1319/10000 [4:53:01<29:29:05, 12.23s/it] 13%|█▎ | 1320/10000 [4:53:14<29:21:04, 12.17s/it] 13%|█▎ | 1321/10000 [4:53:26<29:39:49, 12.30s/it] 13%|█▎ | 1322/10000 [4:53:38<29:39:59, 12.31s/it] 13%|█▎ | 1323/10000 [4:53:50<29:19:34, 12.17s/it] 13%|█▎ | 1324/10000 [4:54:02<29:17:14, 12.15s/it] 13%|█▎ | 1325/10000 [4:54:15<29:49:24, 12.38s/it] 13%|█▎ | 1325/10000 [4:54:15<29:49:24, 12.38s/it] 13%|█▎ | 1326/10000 [4:54:27<29:35:10, 12.28s/it] 13%|█▎ | 1327/10000 [4:54:39<29:02:03, 12.05s/it] 13%|█▎ | 1328/10000 [4:54:52<30:06:08, 12.50s/it] 13%|█▎ | 1329/10000 [4:55:04<29:26:25, 12.22s/it] 13%|█▎ | 1330/10000 [4:55:18<30:34:08, 12.69s/it] 13%|█▎ | 1331/10000 [4:55:30<29:57:16, 12.44s/it] 13%|█▎ | 1332/10000 [4:55:42<29:42:45, 12.34s/it] 13%|█▎ | 1333/10000 [4:55:54<29:52:34, 12.41s/it] 13%|█▎ | 1334/10000 [4:56:07<29:50:27, 12.40s/it] 13%|█▎ | 1335/10000 [4:56:18<29:17:32, 12.17s/it] 13%|█▎ | 1336/10000 [4:56:31<29:37:07, 12.31s/it] 13%|█▎ | 1337/10000 [4:56:43<29:38:05, 12.32s/it] 13%|█▎ | 1338/10000 [4:56:56<29:36:47, 12.31s/it] 13%|█▎ | 1339/10000 [4:57:07<29:10:50, 12.13s/it] 13%|█▎ | 1340/10000 [4:57:19<29:03:24, 12.08s/it] 13%|█▎ | 1341/10000 [4:57:33<30:32:05, 12.69s/it] 13%|█▎ | 1342/10000 [4:57:45<29:50:34, 12.41s/it] 13%|█▎ | 1343/10000 [4:57:58<30:00:04, 12.48s/it] 13%|█▎ | 1344/10000 [4:58:10<29:56:34, 12.45s/it] 13%|█▎ | 1345/10000 [4:58:23<30:05:44, 12.52s/it] 13%|█▎ | 1346/10000 [4:58:35<29:35:32, 12.31s/it] 13%|█▎ | 1347/10000 [4:58:47<29:47:08, 12.39s/it] 13%|█▎ | 1348/10000 [4:58:59<29:35:26, 12.31s/it] 13%|█▎ | 1349/10000 [4:59:12<29:44:17, 12.38s/it] 14%|█▎ | 1350/10000 [4:59:24<29:19:57, 12.21s/it] 14%|█▎ | 1350/10000 [4:59:24<29:19:57, 12.21s/it] 14%|█▎ | 1351/10000 [4:59:36<29:38:27, 12.34s/it] 14%|█▎ | 1352/10000 [4:59:49<29:52:27, 12.44s/it] 14%|█▎ | 1353/10000 [5:00:01<29:30:20, 12.28s/it] 14%|█▎ | 1354/10000 [5:00:13<29:29:32, 12.28s/it] 14%|█▎ | 1355/10000 [5:00:26<29:33:04, 12.31s/it] 14%|█▎ | 1356/10000 [5:00:37<29:11:39, 12.16s/it] 14%|█▎ | 1357/10000 [5:00:51<30:13:10, 12.59s/it] 14%|█▎ | 1358/10000 [5:01:03<30:08:33, 12.56s/it] 14%|█▎ | 1359/10000 [5:01:16<29:50:58, 12.44s/it] 14%|█▎ | 1360/10000 [5:01:29<30:40:53, 12.78s/it] 14%|█▎ | 1361/10000 [5:01:40<29:35:07, 12.33s/it] 14%|█▎ | 1362/10000 [5:01:54<30:42:38, 12.80s/it] 14%|█▎ | 1363/10000 [5:02:05<29:22:11, 12.24s/it] 14%|█▎ | 1364/10000 [5:02:18<29:48:41, 12.43s/it] 14%|█▎ | 1365/10000 [5:02:29<28:48:16, 12.01s/it] 14%|█▎ | 1366/10000 [5:02:40<28:14:15, 11.77s/it] 14%|█▎ | 1367/10000 [5:02:52<28:03:38, 11.70s/it] 14%|█▎ | 1368/10000 [5:03:03<27:48:54, 11.60s/it] 14%|█▎ | 1369/10000 [5:03:16<28:23:34, 11.84s/it] 14%|█▎ | 1370/10000 [5:03:28<28:56:22, 12.07s/it] 14%|█▎ | 1371/10000 [5:03:40<28:34:15, 11.92s/it] 14%|█▎ | 1372/10000 [5:03:51<28:18:56, 11.81s/it] 14%|█▎ | 1373/10000 [5:04:04<28:48:51, 12.02s/it] 14%|█▎ | 1374/10000 [5:04:15<28:25:25, 11.86s/it] 14%|█▍ | 1375/10000 [5:04:26<27:49:27, 11.61s/it] 14%|█▍ | 1375/10000 [5:04:26<27:49:27, 11.61s/it] 14%|█▍ | 1376/10000 [5:04:37<27:17:17, 11.39s/it] 14%|█▍ | 1377/10000 [5:04:49<27:24:51, 11.45s/it] 14%|█▍ | 1378/10000 [5:05:00<27:13:48, 11.37s/it] 14%|█▍ | 1379/10000 [5:05:13<28:01:45, 11.70s/it] 14%|█▍ | 1380/10000 [5:05:24<27:34:49, 11.52s/it] 14%|█▍ | 1381/10000 [5:05:35<27:44:31, 11.59s/it] 14%|█▍ | 1382/10000 [5:05:48<28:05:00, 11.73s/it] 14%|█▍ | 1383/10000 [5:05:59<27:37:26, 11.54s/it] 14%|█▍ | 1384/10000 [5:06:11<27:59:59, 11.70s/it] 14%|█▍ | 1385/10000 [5:06:23<28:10:06, 11.77s/it] 14%|█▍ | 1386/10000 [5:06:34<28:05:40, 11.74s/it] 14%|█▍ | 1387/10000 [5:06:47<28:25:57, 11.88s/it] 14%|█▍ | 1388/10000 [5:06:59<29:08:18, 12.18s/it] 14%|█▍ | 1389/10000 [5:07:11<28:53:57, 12.08s/it] 14%|█▍ | 1390/10000 [5:07:24<29:34:38, 12.37s/it] 14%|█▍ | 1391/10000 [5:07:37<29:31:03, 12.34s/it] 14%|█▍ | 1392/10000 [5:07:49<29:20:52, 12.27s/it] 14%|█▍ | 1393/10000 [5:08:00<28:59:46, 12.13s/it] 14%|█▍ | 1394/10000 [5:08:13<29:07:02, 12.18s/it] 14%|█▍ | 1395/10000 [5:08:26<29:57:16, 12.53s/it] 14%|█▍ | 1396/10000 [5:08:38<29:10:11, 12.20s/it] 14%|█▍ | 1397/10000 [5:08:50<29:14:22, 12.24s/it] 14%|█▍ | 1398/10000 [5:09:02<29:30:44, 12.35s/it] 14%|█▍ | 1399/10000 [5:09:15<29:46:29, 12.46s/it] 14%|█▍ | 1400/10000 [5:09:28<29:53:24, 12.51s/it] 14%|█▍ | 1400/10000 [5:09:28<29:53:24, 12.51s/it] 14%|█▍ | 1401/10000 [5:09:41<30:25:58, 12.74s/it] 14%|█▍ | 1402/10000 [5:09:54<30:45:25, 12.88s/it] 14%|█▍ | 1403/10000 [5:10:06<29:50:51, 12.50s/it] 14%|█▍ | 1404/10000 [5:10:18<29:16:58, 12.26s/it] 14%|█▍ | 1405/10000 [5:10:30<29:24:10, 12.32s/it] 14%|█▍ | 1406/10000 [5:10:43<30:08:15, 12.62s/it] 14%|█▍ | 1407/10000 [5:10:55<29:29:03, 12.35s/it] 14%|█▍ | 1408/10000 [5:11:07<29:26:58, 12.34s/it] 14%|█▍ | 1409/10000 [5:11:19<29:13:29, 12.25s/it] 14%|█▍ | 1410/10000 [5:11:32<29:09:45, 12.22s/it] 14%|█▍ | 1411/10000 [5:11:44<29:13:10, 12.25s/it] 14%|█▍ | 1412/10000 [5:11:56<29:03:29, 12.18s/it] 14%|█▍ | 1413/10000 [5:12:07<28:30:27, 11.95s/it] 14%|█▍ | 1414/10000 [5:12:20<29:02:47, 12.18s/it] 14%|█▍ | 1415/10000 [5:12:35<30:47:51, 12.91s/it] 14%|█▍ | 1416/10000 [5:12:47<30:33:21, 12.81s/it] 14%|█▍ | 1417/10000 [5:13:00<30:31:27, 12.80s/it] 14%|█▍ | 1418/10000 [5:13:12<29:50:35, 12.52s/it] 14%|█▍ | 1419/10000 [5:13:24<29:50:29, 12.52s/it] 14%|█▍ | 1420/10000 [5:13:37<29:29:54, 12.38s/it] 14%|█▍ | 1421/10000 [5:13:49<29:14:40, 12.27s/it] 14%|█▍ | 1422/10000 [5:14:01<29:21:48, 12.32s/it] 14%|█▍ | 1423/10000 [5:14:13<29:12:37, 12.26s/it] 14%|█▍ | 1424/10000 [5:14:27<30:20:00, 12.73s/it] 14%|█▍ | 1425/10000 [5:14:39<30:06:26, 12.64s/it] 14%|█▍ | 1425/10000 [5:14:39<30:06:26, 12.64s/it] 14%|█▍ | 1426/10000 [5:14:51<29:41:02, 12.46s/it] 14%|█▍ | 1427/10000 [5:15:04<29:38:42, 12.45s/it] 14%|█▍ | 1428/10000 [5:15:17<30:29:00, 12.80s/it] 14%|█▍ | 1429/10000 [5:15:29<29:45:34, 12.50s/it] 14%|█▍ | 1430/10000 [5:15:40<28:50:20, 12.11s/it] 14%|█▍ | 1431/10000 [5:15:52<28:38:55, 12.04s/it] 14%|█▍ | 1432/10000 [5:16:06<29:34:53, 12.43s/it] 14%|█▍ | 1433/10000 [5:16:18<29:11:59, 12.27s/it] 14%|█▍ | 1434/10000 [5:16:29<28:52:50, 12.14s/it] 14%|█▍ | 1435/10000 [5:16:42<28:59:25, 12.19s/it] 14%|█▍ | 1436/10000 [5:16:54<28:44:46, 12.08s/it] 14%|█▍ | 1437/10000 [5:17:05<28:10:32, 11.85s/it] 14%|█▍ | 1438/10000 [5:17:17<28:40:12, 12.05s/it] 14%|█▍ | 1439/10000 [5:17:30<28:50:28, 12.13s/it] 14%|█▍ | 1440/10000 [5:17:41<28:30:11, 11.99s/it] 14%|█▍ | 1441/10000 [5:17:53<28:27:45, 11.97s/it] 14%|█▍ | 1442/10000 [5:18:05<28:08:27, 11.84s/it] 14%|█▍ | 1443/10000 [5:18:16<27:46:02, 11.68s/it] 14%|█▍ | 1444/10000 [5:18:28<27:53:20, 11.73s/it] 14%|█▍ | 1445/10000 [5:18:41<29:04:34, 12.24s/it] 14%|█▍ | 1446/10000 [5:18:53<28:29:07, 11.99s/it] 14%|█▍ | 1447/10000 [5:19:04<27:47:49, 11.70s/it] 14%|█▍ | 1448/10000 [5:19:15<27:45:42, 11.69s/it] 14%|█▍ | 1449/10000 [5:19:29<28:55:25, 12.18s/it] 14%|█▍ | 1450/10000 [5:19:40<27:59:00, 11.78s/it] 14%|█▍ | 1450/10000 [5:19:40<27:59:00, 11.78s/it] 15%|█▍ | 1451/10000 [5:19:51<27:36:53, 11.63s/it] 15%|█▍ | 1452/10000 [5:20:02<27:04:56, 11.41s/it] 15%|█▍ | 1453/10000 [5:20:13<27:14:29, 11.47s/it] 15%|█▍ | 1454/10000 [5:20:25<27:14:29, 11.48s/it] 15%|█▍ | 1455/10000 [5:20:37<27:50:10, 11.73s/it] 15%|█▍ | 1456/10000 [5:20:48<27:20:07, 11.52s/it] 15%|█▍ | 1457/10000 [5:21:01<27:53:16, 11.75s/it] 15%|█▍ | 1458/10000 [5:21:13<28:15:03, 11.91s/it] 15%|█▍ | 1459/10000 [5:21:24<27:55:21, 11.77s/it] 15%|█▍ | 1460/10000 [5:21:36<27:34:47, 11.63s/it] 15%|█▍ | 1461/10000 [5:21:48<28:01:26, 11.81s/it] 15%|█▍ | 1462/10000 [5:22:00<27:59:41, 11.80s/it] 15%|█▍ | 1463/10000 [5:22:12<28:32:15, 12.03s/it] 15%|█▍ | 1464/10000 [5:22:24<28:26:49, 12.00s/it] 15%|█▍ | 1465/10000 [5:22:38<29:44:46, 12.55s/it] 15%|█▍ | 1466/10000 [5:22:50<29:29:56, 12.44s/it] 15%|█▍ | 1467/10000 [5:23:03<29:49:07, 12.58s/it] 15%|█▍ | 1468/10000 [5:23:15<29:11:14, 12.32s/it] 15%|█▍ | 1469/10000 [5:23:27<28:59:34, 12.23s/it] 15%|█▍ | 1470/10000 [5:23:40<29:50:34, 12.59s/it] 15%|█▍ | 1471/10000 [5:23:52<29:31:28, 12.46s/it] 15%|█▍ | 1472/10000 [5:24:04<29:18:29, 12.37s/it] 15%|█▍ | 1473/10000 [5:24:16<28:28:35, 12.02s/it] 15%|█▍ | 1474/10000 [5:24:29<29:32:44, 12.48s/it] 15%|█▍ | 1475/10000 [5:24:41<29:01:46, 12.26s/it] 15%|█▍ | 1475/10000 [5:24:41<29:01:46, 12.26s/it] 15%|█▍ | 1476/10000 [5:24:53<28:48:45, 12.17s/it] 15%|█▍ | 1477/10000 [5:25:05<28:47:32, 12.16s/it] 15%|█▍ | 1478/10000 [5:25:17<28:46:50, 12.16s/it] 15%|█▍ | 1479/10000 [5:25:30<28:56:19, 12.23s/it] 15%|█▍ | 1480/10000 [5:25:42<28:52:09, 12.20s/it] 15%|█▍ | 1481/10000 [5:25:54<29:13:54, 12.35s/it] 15%|█▍ | 1482/10000 [5:26:07<29:19:23, 12.39s/it] 15%|█▍ | 1483/10000 [5:26:19<29:12:44, 12.35s/it] 15%|█▍ | 1484/10000 [5:26:31<28:41:34, 12.13s/it] 15%|█▍ | 1485/10000 [5:26:43<28:51:26, 12.20s/it] 15%|█▍ | 1486/10000 [5:26:56<29:27:17, 12.45s/it] 15%|█▍ | 1487/10000 [5:27:09<29:23:32, 12.43s/it] 15%|█▍ | 1488/10000 [5:27:20<28:52:34, 12.21s/it] 15%|█▍ | 1489/10000 [5:27:32<28:48:30, 12.19s/it] 15%|█▍ | 1490/10000 [5:27:46<29:40:36, 12.55s/it] 15%|█▍ | 1491/10000 [5:27:58<29:25:06, 12.45s/it] 15%|█▍ | 1492/10000 [5:28:10<29:14:57, 12.38s/it] 15%|█▍ | 1493/10000 [5:28:23<29:35:33, 12.52s/it] 15%|█▍ | 1494/10000 [5:28:35<29:07:22, 12.33s/it] 15%|█▍ | 1495/10000 [5:28:47<28:58:27, 12.26s/it] 15%|█▍ | 1496/10000 [5:28:59<28:45:30, 12.17s/it] 15%|█▍ | 1497/10000 [5:29:11<28:52:07, 12.22s/it] 15%|█▍ | 1498/10000 [5:29:25<29:44:32, 12.59s/it] 15%|█▍ | 1499/10000 [5:29:37<29:36:47, 12.54s/it] 15%|█▌ | 1500/10000 [5:29:49<29:15:19, 12.39s/it] 15%|█▌ | 1500/10000 [5:29:49<29:15:19, 12.39s/it][INFO|trainer.py:2955] 2022-12-16 20:57:30,173 >> ***** Running Evaluation ***** [INFO|trainer.py:2959] 2022-12-16 20:57:30,173 >> Num examples: Unknown [INFO|trainer.py:2960] 2022-12-16 20:57:30,173 >> Batch size = 32 [INFO|trainer_utils.py:689] 2022-12-16 20:57:33,063 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length, speaker_id, duration, gender, age. If input_length, speaker_id, duration, gender, age are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. 15%|█▌ | 1500/10000 [5:42:39<29:15:19, 12.39s/it] 15%|█▌ | 1501/10000 [5:42:51<574:24:00, 243.30s/it] 15%|█▌ | 1502/10000 [5:43:04<410:51:34, 174.05s/it] 15%|█▌ | 1503/10000 [5:43:17<296:43:29, 125.72s/it] 15%|█▌ | 1504/10000 [5:43:29<216:02:38, 91.54s/it] 15%|█▌ | 1505/10000 [5:43:41<159:41:24, 67.67s/it] 15%|█▌ | 1506/10000 [5:43:52<119:57:19, 50.84s/it] 15%|█▌ | 1507/10000 [5:44:06<93:32:22, 39.65s/it] 15%|█▌ | 1508/10000 [5:44:18<74:08:22, 31.43s/it] 15%|█▌ | 1509/10000 [5:44:30<60:23:20, 25.60s/it] 15%|█▌ | 1510/10000 [5:44:42<50:49:31, 21.55s/it] 15%|█▌ | 1511/10000 [5:44:54<44:00:50, 18.67s/it] 15%|█▌ | 1512/10000 [5:45:06<39:09:50, 16.61s/it] 15%|█▌ | 1513/10000 [5:45:18<35:57:57, 15.26s/it] 15%|█▌ | 1514/10000 [5:45:31<34:05:55, 14.47s/it] 15%|█▌ | 1515/10000 [5:45:43<32:52:19, 13.95s/it] 15%|█▌ | 1516/10000 [5:45:56<31:44:15, 13.47s/it] 15%|█▌ | 1517/10000 [5:46:08<31:14:44, 13.26s/it] 15%|█▌ | 1518/10000 [5:46:20<29:50:03, 12.66s/it] 15%|█▌ | 1519/10000 [5:46:31<29:02:52, 12.33s/it] 15%|█▌ | 1520/10000 [5:46:43<28:42:28, 12.19s/it] 15%|█▌ | 1521/10000 [5:46:54<28:00:38, 11.89s/it] 15%|█▌ | 1522/10000 [5:47:07<28:23:19, 12.05s/it] 15%|█▌ | 1523/10000 [5:47:20<29:04:28, 12.35s/it] 15%|█▌ | 1524/10000 [5:47:31<28:12:16, 11.98s/it] 15%|█▌ | 1525/10000 [5:47:43<27:58:23, 11.88s/it] 15%|█▌ | 1525/10000 [5:47:43<27:58:23, 11.88s/it] 15%|█▌ | 1526/10000 [5:47:54<27:27:20, 11.66s/it] 15%|█▌ | 1527/10000 [5:48:06<28:02:35, 11.91s/it] 15%|█▌ | 1528/10000 [5:48:17<27:31:52, 11.70s/it] 15%|█▌ | 1529/10000 [5:48:29<27:39:03, 11.75s/it] 15%|█▌ | 1530/10000 [5:48:41<27:56:16, 11.87s/it] 15%|█▌ | 1531/10000 [5:48:53<27:57:34, 11.89s/it] 15%|█▌ | 1532/10000 [5:49:06<28:36:12, 12.16s/it] 15%|█▌ | 1533/10000 [5:49:18<28:06:24, 11.95s/it] 15%|█▌ | 1534/10000 [5:49:30<28:33:48, 12.15s/it] 15%|█▌ | 1535/10000 [5:49:43<28:57:50, 12.32s/it] 15%|█▌ | 1536/10000 [5:49:56<29:18:27, 12.47s/it] 15%|█▌ | 1537/10000 [5:50:07<28:09:59, 11.98s/it] 15%|█▌ | 1538/10000 [5:50:18<28:03:09, 11.93s/it] 15%|█▌ | 1539/10000 [5:50:30<27:43:01, 11.79s/it] 15%|█▌ | 1540/10000 [5:50:42<27:52:12, 11.86s/it] 15%|█▌ | 1541/10000 [5:50:55<28:35:03, 12.16s/it] 15%|█▌ | 1542/10000 [5:51:07<28:19:30, 12.06s/it] 15%|█▌ | 1543/10000 [5:51:18<27:59:52, 11.92s/it] 15%|█▌ | 1544/10000 [5:51:29<27:35:13, 11.74s/it] 15%|█▌ | 1545/10000 [5:51:42<28:12:44, 12.01s/it] 15%|█▌ | 1546/10000 [5:51:54<28:03:56, 11.95s/it] 15%|█▌ | 1547/10000 [5:52:07<28:46:30, 12.25s/it] 15%|█▌ | 1548/10000 [5:52:20<29:05:51, 12.39s/it] 15%|█▌ | 1549/10000 [5:52:32<28:45:26, 12.25s/it] 16%|█▌ | 1550/10000 [5:52:44<28:55:51, 12.33s/it] 16%|█▌ | 1550/10000 [5:52:44<28:55:51, 12.33s/it] 16%|█▌ | 1551/10000 [5:52:56<28:57:41, 12.34s/it] 16%|█▌ | 1552/10000 [5:53:08<28:38:28, 12.21s/it] 16%|█▌ | 1553/10000 [5:53:20<28:19:06, 12.07s/it] 16%|█▌ | 1554/10000 [5:53:33<28:42:16, 12.24s/it] 16%|█▌ | 1555/10000 [5:53:45<28:40:07, 12.22s/it] 16%|█▌ | 1556/10000 [5:53:58<29:06:02, 12.41s/it] 16%|█▌ | 1557/10000 [5:54:10<28:45:39, 12.26s/it] 16%|█▌ | 1558/10000 [5:54:22<28:33:19, 12.18s/it] 16%|█▌ | 1559/10000 [5:54:34<28:43:57, 12.25s/it] 16%|█▌ | 1560/10000 [5:54:46<28:35:01, 12.19s/it] 16%|█▌ | 1561/10000 [5:54:58<28:29:24, 12.15s/it] 16%|█▌ | 1562/10000 [5:55:10<28:09:33, 12.01s/it] 16%|█▌ | 1563/10000 [5:55:22<28:12:12, 12.03s/it] 16%|█▌ | 1564/10000 [5:55:34<28:29:24, 12.16s/it] 16%|█▌ | 1565/10000 [5:55:46<28:17:31, 12.07s/it] 16%|█▌ | 1566/10000 [5:56:00<29:22:38, 12.54s/it] 16%|█▌ | 1567/10000 [5:56:12<29:17:08, 12.50s/it] 16%|█▌ | 1568/10000 [5:56:24<28:53:15, 12.33s/it] 16%|█▌ | 1569/10000 [5:56:36<28:50:16, 12.31s/it] 16%|█▌ | 1570/10000 [5:56:49<28:55:16, 12.35s/it] 16%|█▌ | 1571/10000 [5:57:01<28:46:34, 12.29s/it] 16%|█▌ | 1572/10000 [5:57:13<28:32:10, 12.19s/it] 16%|█▌ | 1573/10000 [5:57:25<28:23:45, 12.13s/it] 16%|█▌ | 1574/10000 [5:57:38<28:42:18, 12.26s/it] 16%|█▌ | 1575/10000 [5:57:51<29:15:04, 12.50s/it] 16%|█▌ | 1575/10000 [5:57:51<29:15:04, 12.50s/it] 16%|█▌ | 1576/10000 [5:58:03<28:55:38, 12.36s/it] 16%|█▌ | 1577/10000 [5:58:15<28:46:06, 12.30s/it] 16%|█▌ | 1578/10000 [5:58:26<28:19:38, 12.11s/it] 16%|█▌ | 1579/10000 [5:58:38<28:11:19, 12.05s/it] 16%|█▌ | 1580/10000 [5:58:51<28:41:37, 12.27s/it] 16%|█▌ | 1581/10000 [5:59:04<29:06:59, 12.45s/it] 16%|█▌ | 1582/10000 [5:59:16<28:37:44, 12.24s/it] 16%|█▌ | 1583/10000 [5:59:28<28:50:04, 12.33s/it] 16%|█▌ | 1584/10000 [5:59:40<28:25:55, 12.16s/it] 16%|█▌ | 1585/10000 [5:59:54<29:38:23, 12.68s/it] 16%|█▌ | 1586/10000 [6:00:06<29:06:12, 12.45s/it] 16%|█▌ | 1587/10000 [6:00:19<29:14:51, 12.52s/it] 16%|█▌ | 1588/10000 [6:00:31<29:22:52, 12.57s/it] 16%|█▌ | 1589/10000 [6:00:44<29:20:06, 12.56s/it] 16%|█▌ | 1590/10000 [6:00:56<28:59:19, 12.41s/it] 16%|█▌ | 1591/10000 [6:01:08<28:41:24, 12.28s/it] 16%|█▌ | 1592/10000 [6:01:20<28:37:10, 12.25s/it] 16%|█▌ | 1593/10000 [6:01:33<29:07:48, 12.47s/it] 16%|█▌ | 1594/10000 [6:01:46<29:16:40, 12.54s/it] 16%|█▌ | 1595/10000 [6:01:58<29:08:37, 12.48s/it] 16%|█▌ | 1596/10000 [6:02:10<29:05:04, 12.46s/it] 16%|█▌ | 1597/10000 [6:02:23<28:49:09, 12.35s/it] 16%|█▌ | 1598/10000 [6:02:35<28:41:34, 12.29s/it] 16%|█▌ | 1599/10000 [6:02:47<28:38:44, 12.28s/it] 16%|█▌ | 1600/10000 [6:02:59<28:36:00, 12.26s/it] 16%|█▌ | 1600/10000 [6:02:59<28:36:00, 12.26s/it] 16%|█▌ | 1601/10000 [6:03:11<28:28:30, 12.21s/it] 16%|█▌ | 1602/10000 [6:03:23<28:27:58, 12.20s/it] 16%|█▌ | 1603/10000 [6:03:37<29:19:55, 12.58s/it] 16%|█▌ | 1604/10000 [6:03:49<29:16:01, 12.55s/it] 16%|█▌ | 1605/10000 [6:04:01<28:37:19, 12.27s/it] 16%|█▌ | 1606/10000 [6:04:13<28:11:22, 12.09s/it] 16%|█▌ | 1607/10000 [6:04:24<27:49:10, 11.93s/it] 16%|█▌ | 1608/10000 [6:04:36<27:38:17, 11.86s/it] 16%|█▌ | 1609/10000 [6:04:47<27:19:44, 11.72s/it] 16%|█▌ | 1610/10000 [6:04:59<26:58:45, 11.58s/it] 16%|█▌ | 1611/10000 [6:05:10<26:57:30, 11.57s/it] 16%|█▌ | 1612/10000 [6:05:22<27:26:24, 11.78s/it] 16%|█▌ | 1613/10000 [6:05:34<27:38:04, 11.86s/it] 16%|█▌ | 1614/10000 [6:05:47<28:09:18, 12.09s/it] 16%|█▌ | 1615/10000 [6:05:59<28:03:25, 12.05s/it] 16%|█▌ | 1616/10000 [6:06:10<27:24:37, 11.77s/it] 16%|█▌ | 1617/10000 [6:06:22<27:28:25, 11.80s/it] 16%|█▌ | 1618/10000 [6:06:35<28:07:08, 12.08s/it] 16%|█▌ | 1619/10000 [6:06:47<27:56:52, 12.00s/it] 16%|█▌ | 1620/10000 [6:06:58<27:49:59, 11.96s/it] 16%|█▌ | 1621/10000 [6:07:09<27:00:50, 11.61s/it] 16%|█▌ | 1622/10000 [6:07:23<28:14:33, 12.14s/it] 16%|█▌ | 1623/10000 [6:07:35<28:28:35, 12.24s/it] 16%|█▌ | 1624/10000 [6:07:47<28:17:58, 12.16s/it] 16%|█▋ | 1625/10000 [6:07:58<27:32:29, 11.84s/it] 16%|█▋ | 1625/10000 [6:07:58<27:32:29, 11.84s/it] 16%|█▋ | 1626/10000 [6:08:10<27:52:43, 11.99s/it] 16%|█▋ | 1627/10000 [6:08:22<27:35:56, 11.87s/it] 16%|█▋ | 1628/10000 [6:08:33<26:54:12, 11.57s/it] 16%|█▋ | 1629/10000 [6:08:45<27:09:33, 11.68s/it] 16%|█▋ | 1630/10000 [6:08:56<26:35:58, 11.44s/it] 16%|█▋ | 1631/10000 [6:09:08<26:57:48, 11.60s/it] 16%|█▋ | 1632/10000 [6:09:19<26:36:26, 11.45s/it] 16%|█▋ | 1633/10000 [6:09:32<27:31:11, 11.84s/it] 16%|█▋ | 1634/10000 [6:09:43<27:26:37, 11.81s/it] 16%|█▋ | 1635/10000 [6:09:55<27:40:14, 11.91s/it] 16%|█▋ | 1636/10000 [6:10:08<28:24:36, 12.23s/it] 16%|█▋ | 1637/10000 [6:10:21<28:38:29, 12.33s/it] 16%|█▋ | 1638/10000 [6:10:33<28:37:17, 12.32s/it] 16%|█▋ | 1639/10000 [6:10:45<28:33:13, 12.29s/it] 16%|█▋ | 1640/10000 [6:10:58<28:23:22, 12.23s/it] 16%|█▋ | 1641/10000 [6:11:09<28:01:19, 12.07s/it] 16%|█▋ | 1642/10000 [6:11:23<29:29:04, 12.70s/it] 16%|█▋ | 1643/10000 [6:11:35<28:58:12, 12.48s/it] 16%|█▋ | 1644/10000 [6:11:47<28:32:37, 12.30s/it] 16%|█▋ | 1645/10000 [6:12:00<28:41:27, 12.36s/it] 16%|█▋ | 1646/10000 [6:12:12<28:36:40, 12.33s/it] 16%|█▋ | 1647/10000 [6:12:24<28:34:07, 12.31s/it] 16%|█▋ | 1648/10000 [6:12:37<28:42:34, 12.37s/it] 16%|█▋ | 1649/10000 [6:12:49<28:41:28, 12.37s/it] 16%|█▋ | 1650/10000 [6:13:02<29:03:11, 12.53s/it] 16%|█▋ | 1650/10000 [6:13:02<29:03:11, 12.53s/it] 17%|█▋ | 1651/10000 [6:13:16<29:44:18, 12.82s/it] 17%|█▋ | 1652/10000 [6:13:30<30:37:18, 13.21s/it] 17%|█▋ | 1653/10000 [6:13:42<29:52:07, 12.88s/it] 17%|█▋ | 1654/10000 [6:13:54<29:20:16, 12.65s/it] 17%|█▋ | 1655/10000 [6:14:06<29:00:40, 12.52s/it] 17%|█▋ | 1656/10000 [6:14:18<28:18:49, 12.22s/it] 17%|█▋ | 1657/10000 [6:14:30<28:18:44, 12.22s/it] 17%|█▋ | 1658/10000 [6:14:42<28:18:05, 12.21s/it] 17%|█▋ | 1659/10000 [6:14:55<28:30:05, 12.30s/it] 17%|█▋ | 1660/10000 [6:15:07<28:39:38, 12.37s/it] 17%|█▋ | 1661/10000 [6:15:21<29:24:07, 12.69s/it] 17%|█▋ | 1662/10000 [6:15:32<28:47:39, 12.43s/it] 17%|█▋ | 1663/10000 [6:15:45<28:39:36, 12.38s/it] 17%|█▋ | 1664/10000 [6:15:57<28:29:37, 12.31s/it] 17%|█▋ | 1665/10000 [6:16:09<28:22:20, 12.25s/it] 17%|█▋ | 1666/10000 [6:16:21<28:12:53, 12.19s/it] 17%|█▋ | 1667/10000 [6:16:33<28:10:46, 12.17s/it] 17%|█▋ | 1668/10000 [6:16:46<28:36:22, 12.36s/it] 17%|█▋ | 1669/10000 [6:16:57<27:46:35, 12.00s/it] 17%|█▋ | 1670/10000 [6:17:10<28:31:47, 12.33s/it] 17%|█▋ | 1671/10000 [6:17:24<29:21:32, 12.69s/it] 17%|█▋ | 1672/10000 [6:17:36<29:06:46, 12.58s/it] 17%|█▋ | 1673/10000 [6:17:49<29:19:34, 12.68s/it] 17%|█▋ | 1674/10000 [6:18:01<28:39:49, 12.39s/it] 17%|█▋ | 1675/10000 [6:18:13<28:28:14, 12.31s/it] 17%|█▋ | 1675/10000 [6:18:13<28:28:14, 12.31s/it] 17%|█▋ | 1676/10000 [6:18:25<28:22:58, 12.28s/it] 17%|█▋ | 1677/10000 [6:18:37<28:30:15, 12.33s/it] 17%|█▋ | 1678/10000 [6:18:49<28:02:06, 12.13s/it] 17%|█▋ | 1679/10000 [6:19:01<28:10:14, 12.19s/it] 17%|█▋ | 1680/10000 [6:19:15<29:11:33, 12.63s/it] 17%|█▋ | 1681/10000 [6:19:27<28:54:12, 12.51s/it] 17%|█▋ | 1682/10000 [6:19:40<29:20:43, 12.70s/it] 17%|█▋ | 1683/10000 [6:19:53<28:55:34, 12.52s/it] 17%|█▋ | 1684/10000 [6:20:05<28:53:44, 12.51s/it] 17%|█▋ | 1685/10000 [6:20:17<28:44:14, 12.44s/it] 17%|█▋ | 1686/10000 [6:20:29<28:28:36, 12.33s/it] 17%|█▋ | 1687/10000 [6:20:42<28:44:00, 12.44s/it] 17%|█▋ | 1688/10000 [6:20:54<28:30:44, 12.35s/it] 17%|█▋ | 1689/10000 [6:21:07<28:45:25, 12.46s/it] 17%|█▋ | 1690/10000 [6:21:19<28:13:16, 12.23s/it] 17%|█▋ | 1691/10000 [6:21:30<27:54:20, 12.09s/it] 17%|█▋ | 1692/10000 [6:21:42<27:53:11, 12.08s/it] 17%|█▋ | 1693/10000 [6:21:54<27:37:46, 11.97s/it] 17%|█▋ | 1694/10000 [6:22:05<27:07:48, 11.76s/it] 17%|█▋ | 1695/10000 [6:22:18<27:47:37, 12.05s/it] 17%|█▋ | 1696/10000 [6:22:29<27:18:35, 11.84s/it] 17%|█▋ | 1697/10000 [6:22:41<27:04:36, 11.74s/it] 17%|█▋ | 1698/10000 [6:22:54<27:45:38, 12.04s/it] 17%|█▋ | 1699/10000 [6:23:06<27:51:44, 12.08s/it] 17%|█▋ | 1700/10000 [6:23:19<28:12:27, 12.23s/it] 17%|█▋ | 1700/10000 [6:23:19<28:12:27, 12.23s/it] 17%|█▋ | 1701/10000 [6:23:30<27:28:23, 11.92s/it] 17%|█▋ | 1702/10000 [6:23:42<27:25:43, 11.90s/it] 17%|█▋ | 1703/10000 [6:23:53<26:53:16, 11.67s/it] 17%|█▋ | 1704/10000 [6:24:07<28:30:21, 12.37s/it] 17%|█▋ | 1705/10000 [6:24:18<28:01:51, 12.17s/it] 17%|█▋ | 1706/10000 [6:24:29<27:12:59, 11.81s/it] 17%|█▋ | 1707/10000 [6:24:41<26:55:11, 11.69s/it] 17%|█▋ | 1708/10000 [6:24:52<26:48:11, 11.64s/it] 17%|█▋ | 1709/10000 [6:25:05<27:31:34, 11.95s/it] 17%|█▋ | 1710/10000 [6:25:16<26:44:20, 11.61s/it] 17%|█▋ | 1711/10000 [6:25:27<26:46:38, 11.63s/it] 17%|█▋ | 1712/10000 [6:25:39<26:52:21, 11.67s/it] 17%|█▋ | 1713/10000 [6:25:51<26:48:50, 11.65s/it] 17%|█▋ | 1714/10000 [6:26:03<27:19:47, 11.87s/it] 17%|█▋ | 1715/10000 [6:26:16<27:59:19, 12.16s/it] 17%|█▋ | 1716/10000 [6:26:28<27:56:47, 12.14s/it] 17%|█▋ | 1717/10000 [6:26:40<27:40:53, 12.03s/it] 17%|█▋ | 1718/10000 [6:26:52<27:46:07, 12.07s/it] 17%|█▋ | 1719/10000 [6:27:06<28:42:39, 12.48s/it] 17%|█▋ | 1720/10000 [6:27:18<28:22:52, 12.34s/it] 17%|█▋ | 1721/10000 [6:27:29<27:58:58, 12.17s/it] 17%|█▋ | 1722/10000 [6:27:41<27:49:35, 12.10s/it] 17%|█▋ | 1723/10000 [6:27:54<28:04:28, 12.21s/it] 17%|█▋ | 1724/10000 [6:28:05<27:44:48, 12.07s/it] 17%|█▋ | 1725/10000 [6:28:17<27:35:46, 12.01s/it] 17%|█▋ | 1725/10000 [6:28:17<27:35:46, 12.01s/it] 17%|█▋ | 1726/10000 [6:28:30<27:48:22, 12.10s/it] 17%|█▋ | 1727/10000 [6:28:42<27:43:38, 12.07s/it] 17%|█▋ | 1728/10000 [6:28:54<28:12:23, 12.28s/it] 17%|█▋ | 1729/10000 [6:29:06<27:41:35, 12.05s/it] 17%|█▋ | 1730/10000 [6:29:20<28:46:26, 12.53s/it] 17%|█▋ | 1731/10000 [6:29:31<28:21:22, 12.35s/it] 17%|█▋ | 1732/10000 [6:29:44<28:17:37, 12.32s/it] 17%|█▋ | 1733/10000 [6:29:56<27:59:31, 12.19s/it] 17%|█▋ | 1734/10000 [6:30:08<28:19:02, 12.33s/it] 17%|█▋ | 1735/10000 [6:30:21<28:25:50, 12.38s/it] 17%|█▋ | 1736/10000 [6:30:33<28:26:38, 12.39s/it] 17%|█▋ | 1737/10000 [6:30:45<28:18:52, 12.34s/it] 17%|█▋ | 1738/10000 [6:30:57<28:02:50, 12.22s/it] 17%|█▋ | 1739/10000 [6:31:11<28:50:50, 12.57s/it] 17%|█▋ | 1740/10000 [6:31:23<28:38:06, 12.48s/it] 17%|█▋ | 1741/10000 [6:31:35<28:33:27, 12.45s/it] 17%|█▋ | 1742/10000 [6:31:48<28:39:37, 12.49s/it] 17%|█▋ | 1743/10000 [6:32:00<28:07:36, 12.26s/it] 17%|█▋ | 1744/10000 [6:32:13<28:48:09, 12.56s/it] 17%|█▋ | 1745/10000 [6:32:25<28:12:07, 12.30s/it] 17%|█▋ | 1746/10000 [6:32:37<28:08:15, 12.27s/it] 17%|█▋ | 1747/10000 [6:32:49<28:10:11, 12.29s/it] 17%|█▋ | 1748/10000 [6:33:01<28:10:58, 12.30s/it] 17%|█▋ | 1749/10000 [6:33:13<27:54:07, 12.17s/it] 18%|█▊ | 1750/10000 [6:33:25<27:46:56, 12.12s/it] 18%|█▊ | 1750/10000 [6:33:25<27:46:56, 12.12s/it] 18%|█▊ | 1751/10000 [6:33:38<28:19:09, 12.36s/it] 18%|█▊ | 1752/10000 [6:33:51<28:25:51, 12.41s/it] 18%|█▊ | 1753/10000 [6:34:04<28:46:38, 12.56s/it] 18%|█▊ | 1754/10000 [6:34:16<28:40:41, 12.52s/it] 18%|█▊ | 1755/10000 [6:34:28<28:10:34, 12.30s/it] 18%|█▊ | 1756/10000 [6:34:41<28:21:14, 12.38s/it] 18%|█▊ | 1757/10000 [6:34:52<28:00:31, 12.23s/it] 18%|█▊ | 1758/10000 [6:35:05<28:20:47, 12.38s/it] 18%|█▊ | 1759/10000 [6:35:19<29:02:38, 12.69s/it] 18%|█▊ | 1760/10000 [6:35:31<28:37:17, 12.50s/it] 18%|█▊ | 1761/10000 [6:35:44<28:54:19, 12.63s/it] 18%|█▊ | 1762/10000 [6:35:56<28:52:12, 12.62s/it] 18%|█▊ | 1763/10000 [6:36:09<28:43:38, 12.56s/it] 18%|█▊ | 1764/10000 [6:36:20<28:18:19, 12.37s/it] 18%|█▊ | 1765/10000 [6:36:35<29:31:04, 12.90s/it] 18%|█▊ | 1766/10000 [6:36:46<28:35:12, 12.50s/it] 18%|█▊ | 1767/10000 [6:36:57<27:25:42, 11.99s/it] 18%|█▊ | 1768/10000 [6:37:09<27:25:27, 11.99s/it] 18%|█▊ | 1769/10000 [6:37:20<26:31:01, 11.60s/it] 18%|█▊ | 1770/10000 [6:37:33<27:26:36, 12.00s/it] 18%|█▊ | 1771/10000 [6:37:44<27:11:19, 11.89s/it] 18%|█▊ | 1772/10000 [6:37:56<27:09:33, 11.88s/it] 18%|█▊ | 1773/10000 [6:38:09<27:47:07, 12.16s/it] 18%|█▊ | 1774/10000 [6:38:23<28:52:33, 12.64s/it] 18%|█▊ | 1775/10000 [6:38:34<28:12:15, 12.34s/it] 18%|█▊ | 1775/10000 [6:38:34<28:12:15, 12.34s/it] 18%|█▊ | 1776/10000 [6:38:46<27:49:04, 12.18s/it] 18%|█▊ | 1777/10000 [6:38:58<27:34:46, 12.07s/it] 18%|█▊ | 1778/10000 [6:39:09<26:59:12, 11.82s/it] 18%|█▊ | 1779/10000 [6:39:21<26:50:53, 11.76s/it] 18%|█▊ | 1780/10000 [6:39:33<27:12:14, 11.91s/it] 18%|█▊ | 1781/10000 [6:39:46<27:58:53, 12.26s/it] 18%|█▊ | 1782/10000 [6:39:58<27:43:35, 12.15s/it] 18%|█▊ | 1783/10000 [6:40:10<27:31:39, 12.06s/it] 18%|█▊ | 1784/10000 [6:40:22<27:37:04, 12.10s/it] 18%|█▊ | 1785/10000 [6:40:34<27:11:29, 11.92s/it] 18%|█▊ | 1786/10000 [6:40:44<26:25:28, 11.58s/it] 18%|█▊ | 1787/10000 [6:40:58<27:39:15, 12.12s/it] 18%|█▊ | 1788/10000 [6:41:09<27:09:43, 11.91s/it] 18%|█▊ | 1789/10000 [6:41:21<27:14:55, 11.95s/it] 18%|█▊ | 1790/10000 [6:41:34<28:06:24, 12.32s/it] 18%|█▊ | 1791/10000 [6:41:46<27:19:35, 11.98s/it] 18%|█▊ | 1792/10000 [6:41:57<27:15:26, 11.96s/it] 18%|█▊ | 1793/10000 [6:42:11<28:13:44, 12.38s/it] 18%|█▊ | 1794/10000 [6:42:24<28:25:43, 12.47s/it] 18%|█▊ | 1795/10000 [6:42:36<28:18:06, 12.42s/it] 18%|█▊ | 1796/10000 [6:42:48<28:12:14, 12.38s/it] 18%|█▊ | 1797/10000 [6:43:01<28:24:18, 12.47s/it] 18%|█▊ | 1798/10000 [6:43:13<28:07:42, 12.35s/it] 18%|█▊ | 1799/10000 [6:43:25<27:58:17, 12.28s/it] 18%|█▊ | 1800/10000 [6:43:38<28:15:22, 12.41s/it] 18%|█▊ | 1800/10000 [6:43:38<28:15:22, 12.41s/it] 18%|█▊ | 1801/10000 [6:43:50<28:09:42, 12.37s/it] 18%|█▊ | 1802/10000 [6:44:02<28:08:57, 12.36s/it] 18%|█▊ | 1803/10000 [6:44:14<27:48:21, 12.21s/it] 18%|█▊ | 1804/10000 [6:44:27<28:04:11, 12.33s/it] 18%|█▊ | 1805/10000 [6:44:38<27:35:35, 12.12s/it] 18%|█▊ | 1806/10000 [6:44:51<27:50:36, 12.23s/it] 18%|█▊ | 1807/10000 [6:45:04<28:22:46, 12.47s/it] 18%|█▊ | 1808/10000 [6:45:16<28:07:16, 12.36s/it] 18%|█▊ | 1809/10000 [6:45:29<28:44:53, 12.64s/it] 18%|█▊ | 1810/10000 [6:45:41<28:20:47, 12.46s/it] 18%|█▊ | 1811/10000 [6:45:53<27:42:35, 12.18s/it] 18%|█▊ | 1812/10000 [6:46:06<28:39:14, 12.60s/it] 18%|█▊ | 1813/10000 [6:46:20<29:14:27, 12.86s/it] 18%|█▊ | 1814/10000 [6:46:33<29:20:36, 12.90s/it] 18%|█▊ | 1815/10000 [6:46:46<29:33:13, 13.00s/it] 18%|█▊ | 1816/10000 [6:46:59<29:26:41, 12.95s/it] 18%|█▊ | 1817/10000 [6:47:11<29:07:50, 12.82s/it] 18%|█▊ | 1818/10000 [6:47:24<29:07:58, 12.82s/it] 18%|█▊ | 1819/10000 [6:47:38<29:53:55, 13.16s/it] 18%|█▊ | 1820/10000 [6:47:55<32:28:48, 14.29s/it] 18%|█▊ | 1821/10000 [6:48:08<31:23:59, 13.82s/it] 18%|█▊ | 1822/10000 [6:48:21<30:52:57, 13.59s/it] 18%|█▊ | 1823/10000 [6:48:34<30:09:58, 13.28s/it] 18%|█▊ | 1824/10000 [6:48:47<30:05:17, 13.25s/it] 18%|█▊ | 1825/10000 [6:48:59<29:14:03, 12.87s/it] 18%|█▊ | 1825/10000 [6:48:59<29:14:03, 12.87s/it] 18%|█▊ | 1826/10000 [6:49:13<30:29:17, 13.43s/it] 18%|█▊ | 1827/10000 [6:49:26<29:49:22, 13.14s/it] 18%|█▊ | 1828/10000 [6:49:37<28:47:21, 12.68s/it] 18%|█▊ | 1829/10000 [6:49:50<28:30:46, 12.56s/it] 18%|█▊ | 1830/10000 [6:50:00<27:15:11, 12.01s/it] 18%|█▊ | 1831/10000 [6:50:14<28:06:01, 12.38s/it] 18%|█▊ | 1832/10000 [6:50:25<27:22:51, 12.07s/it] 18%|█▊ | 1833/10000 [6:50:36<26:32:55, 11.70s/it] 18%|█▊ | 1834/10000 [6:50:48<26:48:06, 11.82s/it] 18%|█▊ | 1835/10000 [6:51:00<26:36:01, 11.73s/it] 18%|█▊ | 1836/10000 [6:51:12<26:54:37, 11.87s/it] 18%|█▊ | 1837/10000 [6:51:23<26:45:35, 11.80s/it] 18%|█▊ | 1838/10000 [6:51:35<26:42:19, 11.78s/it] 18%|█▊ | 1839/10000 [6:51:49<27:55:22, 12.32s/it] 18%|█▊ | 1840/10000 [6:52:00<27:30:13, 12.13s/it] 18%|█▊ | 1841/10000 [6:52:12<27:20:48, 12.07s/it] 18%|█▊ | 1842/10000 [6:52:24<27:25:26, 12.10s/it] 18%|█▊ | 1843/10000 [6:52:37<27:29:43, 12.13s/it] 18%|█▊ | 1844/10000 [6:52:49<27:31:33, 12.15s/it] 18%|█▊ | 1845/10000 [6:53:03<28:53:44, 12.76s/it] 18%|█▊ | 1846/10000 [6:53:15<28:24:31, 12.54s/it] 18%|█▊ | 1847/10000 [6:53:27<27:59:48, 12.36s/it] 18%|█▊ | 1848/10000 [6:53:39<27:59:41, 12.36s/it] 18%|█▊ | 1849/10000 [6:53:50<27:00:26, 11.93s/it] 18%|█▊ | 1850/10000 [6:54:02<26:53:33, 11.88s/it] 18%|█▊ | 1850/10000 [6:54:02<26:53:33, 11.88s/it] 19%|█▊ | 1851/10000 [6:54:14<26:37:31, 11.76s/it] 19%|█▊ | 1852/10000 [6:54:25<26:41:33, 11.79s/it] 19%|█▊ | 1853/10000 [6:54:38<27:07:43, 11.99s/it] 19%|█▊ | 1854/10000 [6:54:51<27:49:49, 12.30s/it] 19%|█▊ | 1855/10000 [6:55:02<26:55:55, 11.90s/it] 19%|█▊ | 1856/10000 [6:55:14<26:46:29, 11.84s/it] 19%|█▊ | 1857/10000 [6:55:26<27:21:29, 12.09s/it] 19%|█▊ | 1858/10000 [6:55:38<27:05:09, 11.98s/it] 19%|█▊ | 1859/10000 [6:55:50<26:53:31, 11.89s/it] 19%|█▊ | 1860/10000 [6:56:02<27:17:21, 12.07s/it] 19%|█▊ | 1861/10000 [6:56:13<26:30:39, 11.73s/it] 19%|█▊ | 1862/10000 [6:56:24<26:02:27, 11.52s/it] 19%|█▊ | 1863/10000 [6:56:35<25:48:10, 11.42s/it] 19%|█▊ | 1864/10000 [6:56:48<26:27:18, 11.71s/it] 19%|█▊ | 1865/10000 [6:57:00<26:41:52, 11.81s/it] 19%|█▊ | 1866/10000 [6:57:13<27:26:37, 12.15s/it] 19%|█▊ | 1867/10000 [6:57:24<27:04:47, 11.99s/it] 19%|█▊ | 1868/10000 [6:57:37<27:26:38, 12.15s/it] 19%|█▊ | 1869/10000 [6:57:49<27:17:58, 12.09s/it] 19%|█▊ | 1870/10000 [6:58:02<27:51:28, 12.34s/it] 19%|█▊ | 1871/10000 [6:58:14<27:40:24, 12.26s/it] 19%|█▊ | 1872/10000 [6:58:26<27:31:29, 12.19s/it] 19%|█▊ | 1873/10000 [6:58:40<28:35:59, 12.67s/it] 19%|█▊ | 1874/10000 [6:58:52<28:13:40, 12.51s/it] 19%|█▉ | 1875/10000 [6:59:04<27:53:08, 12.36s/it] 19%|█▉ | 1875/10000 [6:59:04<27:53:08, 12.36s/it] 19%|█▉ | 1876/10000 [6:59:16<27:59:15, 12.40s/it] 19%|█▉ | 1877/10000 [6:59:28<27:31:20, 12.20s/it] 19%|█▉ | 1878/10000 [6:59:40<27:41:37, 12.27s/it] 19%|█▉ | 1879/10000 [6:59:52<27:24:52, 12.15s/it] 19%|█▉ | 1880/10000 [7:00:06<28:51:47, 12.80s/it] 19%|█▉ | 1881/10000 [7:00:18<28:11:24, 12.50s/it] 19%|█▉ | 1882/10000 [7:00:31<28:21:05, 12.57s/it] 19%|█▉ | 1883/10000 [7:00:43<28:02:08, 12.43s/it] 19%|█▉ | 1884/10000 [7:00:55<27:39:45, 12.27s/it] 19%|█▉ | 1885/10000 [7:01:07<27:39:34, 12.27s/it] 19%|█▉ | 1886/10000 [7:01:19<27:30:45, 12.21s/it] 19%|█▉ | 1887/10000 [7:01:31<27:11:40, 12.07s/it] 19%|█▉ | 1888/10000 [7:01:45<28:05:24, 12.47s/it] 19%|█▉ | 1889/10000 [7:01:56<27:29:24, 12.20s/it] 19%|█▉ | 1890/10000 [7:02:08<27:24:24, 12.17s/it] 19%|█▉ | 1891/10000 [7:02:21<28:07:01, 12.48s/it] 19%|█▉ | 1892/10000 [7:02:33<27:50:47, 12.36s/it] 19%|█▉ | 1893/10000 [7:02:46<27:54:33, 12.39s/it] 19%|█▉ | 1894/10000 [7:02:58<27:40:10, 12.29s/it] 19%|█▉ | 1895/10000 [7:03:10<27:28:41, 12.21s/it] 19%|█▉ | 1896/10000 [7:03:22<27:36:59, 12.27s/it] 19%|█▉ | 1897/10000 [7:03:35<27:47:00, 12.34s/it] 19%|█▉ | 1898/10000 [7:03:47<27:50:12, 12.37s/it] 19%|█▉ | 1899/10000 [7:04:01<28:21:36, 12.60s/it] 19%|█▉ | 1900/10000 [7:04:13<28:01:14, 12.45s/it] 19%|█▉ | 1900/10000 [7:04:13<28:01:14, 12.45s/it] 19%|█▉ | 1901/10000 [7:04:25<27:59:46, 12.44s/it] 19%|█▉ | 1902/10000 [7:04:37<27:52:17, 12.39s/it] 19%|█▉ | 1903/10000 [7:04:50<27:57:01, 12.43s/it] 19%|█▉ | 1904/10000 [7:05:02<27:55:54, 12.42s/it] 19%|█▉ | 1905/10000 [7:05:14<27:46:03, 12.35s/it] 19%|█▉ | 1906/10000 [7:05:26<27:18:05, 12.14s/it] 19%|█▉ | 1907/10000 [7:05:37<26:42:43, 11.88s/it] 19%|█▉ | 1908/10000 [7:05:48<26:12:11, 11.66s/it] 19%|█▉ | 1909/10000 [7:06:01<27:00:13, 12.02s/it] 19%|█▉ | 1910/10000 [7:06:13<26:47:55, 11.93s/it] 19%|█▉ | 1911/10000 [7:06:25<26:34:31, 11.83s/it] 19%|█▉ | 1912/10000 [7:06:36<26:23:38, 11.75s/it] 19%|█▉ | 1913/10000 [7:06:48<26:17:05, 11.70s/it] 19%|█▉ | 1914/10000 [7:06:59<25:58:50, 11.57s/it] 19%|█▉ | 1915/10000 [7:07:11<26:03:27, 11.60s/it] 19%|█▉ | 1916/10000 [7:07:23<26:18:43, 11.72s/it] 19%|█▉ | 1917/10000 [7:07:34<25:51:27, 11.52s/it] 19%|█▉ | 1918/10000 [7:07:46<26:36:00, 11.85s/it] 19%|█▉ | 1919/10000 [7:07:59<27:10:38, 12.11s/it] 19%|█▉ | 1920/10000 [7:08:11<27:04:48, 12.07s/it] 19%|█▉ | 1921/10000 [7:08:23<26:55:17, 12.00s/it] 19%|█▉ | 1922/10000 [7:08:34<26:32:08, 11.83s/it] 19%|█▉ | 1923/10000 [7:08:48<27:40:11, 12.33s/it] 19%|█▉ | 1924/10000 [7:08:59<26:49:23, 11.96s/it] 19%|█▉ | 1925/10000 [7:09:10<26:28:29, 11.80s/it] 19%|█▉ | 1925/10000 [7:09:10<26:28:29, 11.80s/it] 19%|█▉ | 1926/10000 [7:09:23<27:11:30, 12.12s/it] 19%|█▉ | 1927/10000 [7:09:35<27:15:24, 12.15s/it] 19%|█▉ | 1928/10000 [7:09:47<26:33:22, 11.84s/it] 19%|█▉ | 1929/10000 [7:09:58<26:21:04, 11.75s/it] 19%|█▉ | 1930/10000 [7:10:09<26:04:05, 11.63s/it] 19%|█▉ | 1931/10000 [7:10:21<25:46:04, 11.50s/it] 19%|█▉ | 1932/10000 [7:10:32<25:55:54, 11.57s/it] 19%|█▉ | 1933/10000 [7:10:44<26:00:39, 11.61s/it] 19%|█▉ | 1934/10000 [7:10:56<26:17:41, 11.74s/it] 19%|█▉ | 1935/10000 [7:11:08<26:41:52, 11.92s/it] 19%|█▉ | 1936/10000 [7:11:21<26:48:03, 11.96s/it] 19%|█▉ | 1937/10000 [7:11:33<26:54:06, 12.01s/it] 19%|█▉ | 1938/10000 [7:11:45<27:08:06, 12.12s/it] 19%|█▉ | 1939/10000 [7:11:56<26:18:00, 11.75s/it] 19%|█▉ | 1940/10000 [7:12:08<26:13:27, 11.71s/it] 19%|█▉ | 1941/10000 [7:12:20<26:45:49, 11.96s/it] 19%|█▉ | 1942/10000 [7:12:32<26:31:38, 11.85s/it] 19%|█▉ | 1943/10000 [7:12:43<26:25:31, 11.81s/it] 19%|█▉ | 1944/10000 [7:12:55<26:16:32, 11.74s/it] 19%|█▉ | 1945/10000 [7:13:07<26:31:54, 11.86s/it] 19%|█▉ | 1946/10000 [7:13:21<28:04:39, 12.55s/it] 19%|█▉ | 1947/10000 [7:13:33<27:16:01, 12.19s/it] 19%|█▉ | 1948/10000 [7:13:44<26:47:11, 11.98s/it] 19%|█▉ | 1949/10000 [7:13:56<27:00:48, 12.08s/it] 20%|█▉ | 1950/10000 [7:14:08<26:30:50, 11.86s/it] 20%|█▉ | 1950/10000 [7:14:08<26:30:50, 11.86s/it] 20%|█▉ | 1951/10000 [7:14:19<25:51:22, 11.56s/it] 20%|█▉ | 1952/10000 [7:14:32<26:51:11, 12.01s/it] 20%|█▉ | 1953/10000 [7:14:45<27:53:04, 12.47s/it] 20%|█▉ | 1954/10000 [7:14:58<28:09:12, 12.60s/it] 20%|█▉ | 1955/10000 [7:15:10<27:23:46, 12.26s/it] 20%|█▉ | 1956/10000 [7:15:23<27:50:05, 12.46s/it] 20%|█▉ | 1957/10000 [7:15:35<27:36:19, 12.36s/it] 20%|█▉ | 1958/10000 [7:15:48<27:56:43, 12.51s/it] 20%|█▉ | 1959/10000 [7:16:00<28:01:24, 12.55s/it] 20%|█▉ | 1960/10000 [7:16:13<28:32:19, 12.78s/it] 20%|█▉ | 1961/10000 [7:16:25<28:02:12, 12.56s/it] 20%|█▉ | 1962/10000 [7:16:38<27:43:08, 12.41s/it] 20%|█▉ | 1963/10000 [7:16:50<27:48:31, 12.46s/it] 20%|█▉ | 1964/10000 [7:17:02<27:41:56, 12.41s/it] 20%|█▉ | 1965/10000 [7:17:15<27:29:55, 12.32s/it] 20%|█▉ | 1966/10000 [7:17:27<27:25:48, 12.29s/it] 20%|█▉ | 1967/10000 [7:17:39<27:41:17, 12.41s/it] 20%|█▉ | 1968/10000 [7:17:53<28:14:51, 12.66s/it] 20%|█▉ | 1969/10000 [7:18:05<28:13:49, 12.65s/it] 20%|█▉ | 1970/10000 [7:18:17<27:49:59, 12.48s/it] 20%|█▉ | 1971/10000 [7:18:30<28:10:07, 12.63s/it] 20%|█▉ | 1972/10000 [7:18:42<27:31:14, 12.34s/it] 20%|█▉ | 1973/10000 [7:18:55<27:40:41, 12.41s/it] 20%|█▉ | 1974/10000 [7:19:06<27:17:28, 12.24s/it] 20%|█▉ | 1975/10000 [7:19:19<27:27:51, 12.32s/it] 20%|█▉ | 1975/10000 [7:19:19<27:27:51, 12.32s/it] 20%|█▉ | 1976/10000 [7:19:33<28:27:16, 12.77s/it] 20%|█▉ | 1977/10000 [7:19:45<27:52:25, 12.51s/it] 20%|█▉ | 1978/10000 [7:19:57<27:26:36, 12.32s/it] 20%|█▉ | 1979/10000 [7:20:09<27:18:08, 12.25s/it] 20%|█▉ | 1980/10000 [7:20:21<27:17:30, 12.25s/it] 20%|█▉ | 1981/10000 [7:20:33<27:22:04, 12.29s/it] 20%|█▉ | 1982/10000 [7:20:46<27:28:01, 12.33s/it] 20%|█▉ | 1983/10000 [7:20:59<27:53:41, 12.53s/it] 20%|█▉ | 1984/10000 [7:21:11<28:01:45, 12.59s/it] 20%|█▉ | 1985/10000 [7:21:24<28:16:04, 12.70s/it] 20%|█▉ | 1986/10000 [7:21:36<27:44:36, 12.46s/it] 20%|█▉ | 1987/10000 [7:21:49<28:03:58, 12.61s/it] 20%|█▉ | 1988/10000 [7:22:02<28:00:35, 12.59s/it] 20%|█▉ | 1989/10000 [7:22:14<27:31:59, 12.37s/it] 20%|█▉ | 1990/10000 [7:22:26<27:29:25, 12.36s/it] 20%|█▉ | 1991/10000 [7:22:38<27:20:39, 12.29s/it] 20%|█▉ | 1992/10000 [7:22:50<27:15:57, 12.26s/it] 20%|█▉ | 1993/10000 [7:23:03<27:51:06, 12.52s/it] 20%|█▉ | 1994/10000 [7:23:15<27:30:53, 12.37s/it] 20%|█▉ | 1995/10000 [7:23:28<27:18:53, 12.28s/it] 20%|█▉ | 1996/10000 [7:23:39<26:50:54, 12.08s/it] 20%|█▉ | 1997/10000 [7:23:50<26:20:37, 11.85s/it] 20%|█▉ | 1998/10000 [7:24:03<26:40:18, 12.00s/it] 20%|█▉ | 1999/10000 [7:24:15<26:42:36, 12.02s/it] 20%|██ | 2000/10000 [7:24:27<26:44:29, 12.03s/it] 20%|██ | 2000/10000 [7:24:27<26:44:29, 12.03s/it][INFO|trainer.py:2955] 2022-12-16 22:52:07,783 >> ***** Running Evaluation ***** [INFO|trainer.py:2959] 2022-12-16 22:52:07,783 >> Num examples: Unknown [INFO|trainer.py:2960] 2022-12-16 22:52:07,783 >> Batch size = 32 [INFO|trainer_utils.py:689] 2022-12-16 22:52:10,087 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length, speaker_id, duration, gender, age. If input_length, speaker_id, duration, gender, age are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. 20%|██ | 2000/10000 [7:39:05<26:44:29, 12.03s/it][INFO|trainer.py:2700] 2022-12-16 23:06:45,865 >> Saving model checkpoint to ./checkpoint-2000 [INFO|configuration_utils.py:447] 2022-12-16 23:06:45,866 >> Configuration saved in ./checkpoint-2000/config.json [INFO|modeling_utils.py:1680] 2022-12-16 23:06:48,466 >> Model weights saved in ./checkpoint-2000/pytorch_model.bin [INFO|feature_extraction_utils.py:368] 2022-12-16 23:06:48,481 >> Feature extractor saved in ./checkpoint-2000/preprocessor_config.json [INFO|feature_extraction_utils.py:368] 2022-12-16 23:06:58,809 >> Feature extractor saved in ./preprocessor_config.json 20%|██ | 2001/10000 [7:40:58<679:06:06, 305.63s/it] 20%|██ | 2002/10000 [7:41:09<483:01:10, 217.41s/it] 20%|██ | 2003/10000 [7:41:21<346:11:42, 155.85s/it] 20%|██ | 2004/10000 [7:41:34<250:29:15, 112.78s/it] 20%|██ | 2005/10000 [7:41:47<183:54:39, 82.81s/it] 20%|██ | 2006/10000 [7:41:57<135:48:22, 61.16s/it] 20%|██ | 2007/10000 [7:42:09<103:04:47, 46.43s/it] 20%|██ | 2008/10000 [7:42:20<79:11:23, 35.67s/it] 20%|██ | 2009/10000 [7:42:33<64:22:34, 29.00s/it] 20%|██ | 2010/10000 [7:42:45<52:58:30, 23.87s/it] 20%|██ | 2011/10000 [7:42:57<45:12:54, 20.37s/it] 20%|██ | 2012/10000 [7:43:09<39:18:23, 17.71s/it] 20%|██ | 2013/10000 [7:43:21<35:21:13, 15.94s/it] 20%|██ | 2014/10000 [7:43:32<32:00:41, 14.43s/it] 20%|██ | 2015/10000 [7:43:43<30:07:01, 13.58s/it] 20%|██ | 2016/10000 [7:43:54<28:34:06, 12.88s/it] 20%|██ | 2017/10000 [7:44:06<27:45:09, 12.52s/it] 20%|██ | 2018/10000 [7:44:19<27:47:09, 12.53s/it] 20%|██ | 2019/10000 [7:44:30<27:05:11, 12.22s/it] 20%|██ | 2020/10000 [7:44:43<27:38:29, 12.47s/it] 20%|██ | 2021/10000 [7:44:55<27:09:39, 12.25s/it] 20%|██ | 2022/10000 [7:45:07<26:54:17, 12.14s/it] 20%|██ | 2023/10000 [7:45:19<27:07:43, 12.24s/it] 20%|██ | 2024/10000 [7:45:31<26:40:12, 12.04s/it] 20%|██ | 2025/10000 [7:45:42<26:20:24, 11.89s/it] 20%|██ | 2025/10000 [7:45:42<26:20:24, 11.89s/it] 20%|██ | 2026/10000 [7:45:55<26:40:20, 12.04s/it] 20%|██ | 2027/10000 [7:46:07<26:27:00, 11.94s/it] 20%|██ | 2028/10000 [7:46:18<26:12:29, 11.84s/it] 20%|██ | 2029/10000 [7:46:30<26:15:03, 11.86s/it] 20%|██ | 2030/10000 [7:46:41<25:29:37, 11.52s/it] 20%|██ | 2031/10000 [7:46:54<26:45:19, 12.09s/it] 20%|██ | 2032/10000 [7:47:06<26:45:08, 12.09s/it] 20%|██ | 2033/10000 [7:47:19<27:07:16, 12.26s/it] 20%|██ | 2034/10000 [7:47:31<26:59:38, 12.20s/it] 20%|██ | 2035/10000 [7:47:45<28:27:31, 12.86s/it] 20%|██ | 2036/10000 [7:47:59<28:40:54, 12.97s/it] 20%|██ | 2037/10000 [7:48:12<29:04:36, 13.15s/it] 20%|██ | 2038/10000 [7:48:26<29:38:29, 13.40s/it] 20%|██ | 2039/10000 [7:48:39<29:21:39, 13.28s/it] 20%|██ | 2040/10000 [7:48:51<28:09:42, 12.74s/it] 20%|██ | 2041/10000 [7:49:03<27:52:52, 12.61s/it] 20%|██ | 2042/10000 [7:49:15<27:39:59, 12.52s/it] 20%|██ | 2043/10000 [7:49:27<27:12:25, 12.31s/it] 20%|██ | 2044/10000 [7:49:40<27:41:49, 12.53s/it] 20%|██ | 2045/10000 [7:49:52<27:21:53, 12.38s/it] 20%|██ | 2046/10000 [7:50:04<27:10:05, 12.30s/it] 20%|██ | 2047/10000 [7:50:17<27:14:26, 12.33s/it] 20%|██ | 2048/10000 [7:50:29<27:25:35, 12.42s/it] 20%|██ | 2049/10000 [7:50:41<27:10:15, 12.30s/it] 20%|██ | 2050/10000 [7:50:54<27:08:19, 12.29s/it] 20%|██ | 2050/10000 [7:50:54<27:08:19, 12.29s/it] 21%|██ | 2051/10000 [7:51:06<27:34:47, 12.49s/it] 21%|██ | 2052/10000 [7:51:19<27:32:59, 12.48s/it] 21%|██ | 2053/10000 [7:51:31<27:19:00, 12.37s/it] 21%|██ | 2054/10000 [7:51:43<27:07:37, 12.29s/it] 21%|██ | 2055/10000 [7:51:55<26:44:00, 12.11s/it] 21%|██ | 2056/10000 [7:52:08<27:32:13, 12.48s/it] 21%|██ | 2057/10000 [7:52:21<27:29:15, 12.46s/it] 21%|██ | 2058/10000 [7:52:33<27:37:58, 12.53s/it] 21%|██ | 2059/10000 [7:52:46<27:59:50, 12.69s/it] 21%|██ | 2060/10000 [7:52:59<27:46:44, 12.59s/it] 21%|██ | 2061/10000 [7:53:11<27:46:41, 12.60s/it] 21%|██ | 2062/10000 [7:53:24<27:58:07, 12.68s/it] 21%|██ | 2063/10000 [7:53:37<28:03:03, 12.72s/it] 21%|██ | 2064/10000 [7:53:50<27:53:35, 12.65s/it] 21%|██ | 2065/10000 [7:54:01<27:13:23, 12.35s/it] 21%|██ | 2066/10000 [7:54:13<26:37:46, 12.08s/it] 21%|██ | 2067/10000 [7:54:25<26:36:34, 12.08s/it] 21%|██ | 2068/10000 [7:54:36<26:08:55, 11.87s/it] 21%|██ | 2069/10000 [7:54:48<26:28:52, 12.02s/it] 21%|██ | 2070/10000 [7:55:00<26:12:29, 11.90s/it] 21%|██ | 2071/10000 [7:55:12<26:13:37, 11.91s/it] 21%|██ | 2072/10000 [7:55:23<25:32:59, 11.60s/it] 21%|██ | 2073/10000 [7:55:35<25:49:19, 11.73s/it] 21%|██ | 2074/10000 [7:55:46<25:36:17, 11.63s/it] 21%|██ | 2075/10000 [7:55:58<25:37:08, 11.64s/it] 21%|██ | 2075/10000 [7:55:58<25:37:08, 11.64s/it] 21%|██ | 2076/10000 [7:56:09<25:19:49, 11.51s/it] 21%|██ | 2077/10000 [7:56:21<25:22:09, 11.53s/it] 21%|██ | 2078/10000 [7:56:32<25:19:32, 11.51s/it] 21%|██ | 2079/10000 [7:56:47<27:36:20, 12.55s/it] 21%|██ | 2080/10000 [7:56:59<26:51:26, 12.21s/it] 21%|██ | 2081/10000 [7:57:11<27:09:59, 12.35s/it] 21%|██ | 2082/10000 [7:57:22<26:17:39, 11.95s/it] 21%|██ | 2083/10000 [7:57:33<25:46:26, 11.72s/it] 21%|██ | 2084/10000 [7:57:45<25:28:51, 11.59s/it] 21%|██ | 2085/10000 [7:57:57<25:43:01, 11.70s/it] 21%|██ | 2086/10000 [7:58:09<25:46:15, 11.72s/it] 21%|██ | 2087/10000 [7:58:20<25:50:37, 11.76s/it] 21%|██ | 2088/10000 [7:58:33<26:24:18, 12.01s/it] 21%|██ | 2089/10000 [7:58:45<26:15:42, 11.95s/it] 21%|██ | 2090/10000 [7:58:57<26:12:02, 11.92s/it] 21%|██ | 2091/10000 [7:59:08<25:53:52, 11.79s/it] 21%|██ | 2092/10000 [7:59:21<26:35:28, 12.11s/it] 21%|██ | 2093/10000 [7:59:34<26:59:24, 12.29s/it] 21%|██ | 2094/10000 [7:59:45<26:36:07, 12.11s/it] 21%|██ | 2095/10000 [7:59:59<27:37:25, 12.58s/it] 21%|██ | 2096/10000 [8:00:11<27:21:06, 12.46s/it] 21%|██ | 2097/10000 [8:00:23<27:14:25, 12.41s/it] 21%|██ | 2098/10000 [8:00:35<26:50:37, 12.23s/it] 21%|██ | 2099/10000 [8:00:47<26:25:51, 12.04s/it] 21%|██ | 2100/10000 [8:01:00<26:51:24, 12.24s/it] 21%|██ | 2100/10000 [8:01:00<26:51:24, 12.24s/it] 21%|██ | 2101/10000 [8:01:12<26:53:20, 12.25s/it] 21%|██ | 2102/10000 [8:01:25<27:36:04, 12.58s/it] 21%|██ | 2103/10000 [8:01:39<28:21:52, 12.93s/it] 21%|██ | 2104/10000 [8:01:51<27:33:44, 12.57s/it] 21%|██ | 2105/10000 [8:02:03<27:11:46, 12.40s/it] 21%|██ | 2106/10000 [8:02:15<26:56:46, 12.29s/it] 21%|██ | 2107/10000 [8:02:27<27:11:00, 12.40s/it] 21%|██ | 2108/10000 [8:02:41<28:07:37, 12.83s/it] 21%|██ | 2109/10000 [8:02:53<27:30:39, 12.55s/it] 21%|██ | 2110/10000 [8:03:06<27:37:37, 12.61s/it] 21%|██ | 2111/10000 [8:03:17<26:48:27, 12.23s/it] 21%|██ | 2112/10000 [8:03:31<27:37:38, 12.61s/it] 21%|██ | 2113/10000 [8:03:43<27:15:32, 12.44s/it] 21%|██ | 2114/10000 [8:03:55<27:03:24, 12.35s/it] 21%|██ | 2115/10000 [8:04:07<26:55:26, 12.29s/it] 21%|██ | 2116/10000 [8:04:19<26:53:41, 12.28s/it] 21%|██ | 2117/10000 [8:04:31<26:18:21, 12.01s/it] 21%|██ | 2118/10000 [8:04:44<26:55:42, 12.30s/it] 21%|██ | 2119/10000 [8:04:56<26:54:10, 12.29s/it] 21%|██ | 2120/10000 [8:05:08<27:03:00, 12.36s/it] 21%|██ | 2121/10000 [8:05:21<27:00:00, 12.34s/it] 21%|██ | 2122/10000 [8:05:33<26:47:49, 12.25s/it] 21%|██ | 2123/10000 [8:05:45<26:52:44, 12.28s/it] 21%|██ | 2124/10000 [8:05:58<26:57:27, 12.32s/it] 21%|██▏ | 2125/10000 [8:06:09<26:35:20, 12.15s/it] 21%|██▏ | 2125/10000 [8:06:09<26:35:20, 12.15s/it] 21%|██▏ | 2126/10000 [8:06:22<26:47:28, 12.25s/it] 21%|██▏ | 2127/10000 [8:06:33<26:10:53, 11.97s/it] 21%|██▏ | 2128/10000 [8:06:46<26:50:32, 12.28s/it] 21%|██▏ | 2129/10000 [8:06:59<27:27:00, 12.56s/it] 21%|██▏ | 2130/10000 [8:07:12<27:28:18, 12.57s/it] 21%|██▏ | 2131/10000 [8:07:24<27:04:53, 12.39s/it] 21%|██▏ | 2132/10000 [8:07:36<26:56:25, 12.33s/it] 21%|██▏ | 2133/10000 [8:07:48<26:39:14, 12.20s/it] 21%|██▏ | 2134/10000 [8:08:00<26:38:38, 12.19s/it] 21%|██▏ | 2135/10000 [8:08:13<26:48:24, 12.27s/it] 21%|██▏ | 2136/10000 [8:08:25<26:47:27, 12.26s/it] 21%|██▏ | 2137/10000 [8:08:38<27:17:40, 12.50s/it] 21%|██▏ | 2138/10000 [8:08:49<26:36:40, 12.19s/it] 21%|██▏ | 2139/10000 [8:09:02<26:49:25, 12.28s/it] 21%|██▏ | 2140/10000 [8:09:13<26:23:48, 12.09s/it] 21%|██▏ | 2141/10000 [8:09:26<26:48:51, 12.28s/it] 21%|██▏ | 2142/10000 [8:09:38<26:29:12, 12.13s/it] 21%|██▏ | 2143/10000 [8:09:50<26:34:27, 12.18s/it] 21%|██▏ | 2144/10000 [8:10:02<26:29:10, 12.14s/it] 21%|██▏ | 2145/10000 [8:10:15<27:09:06, 12.44s/it] 21%|██▏ | 2146/10000 [8:10:28<27:23:58, 12.56s/it] 21%|██▏ | 2147/10000 [8:10:41<27:26:54, 12.58s/it] 21%|██▏ | 2148/10000 [8:10:53<26:53:55, 12.33s/it] 21%|██▏ | 2149/10000 [8:11:05<27:05:50, 12.43s/it] 22%|██▏ | 2150/10000 [8:11:17<26:39:03, 12.22s/it] 22%|██▏ | 2150/10000 [8:11:17<26:39:03, 12.22s/it] 22%|██▏ | 2151/10000 [8:11:29<26:25:54, 12.12s/it] 22%|██▏ | 2152/10000 [8:11:42<27:07:13, 12.44s/it] 22%|██▏ | 2153/10000 [8:11:54<26:45:13, 12.27s/it] 22%|██▏ | 2154/10000 [8:12:07<27:11:22, 12.48s/it] 22%|██▏ | 2155/10000 [8:12:20<27:28:03, 12.60s/it] 22%|██▏ | 2156/10000 [8:12:32<27:03:42, 12.42s/it] 22%|██▏ | 2157/10000 [8:12:45<27:11:35, 12.48s/it] 22%|██▏ | 2158/10000 [8:12:58<27:37:54, 12.68s/it] 22%|██▏ | 2159/10000 [8:13:09<26:55:58, 12.37s/it] 22%|██▏ | 2160/10000 [8:13:20<26:03:05, 11.96s/it] 22%|██▏ | 2161/10000 [8:13:31<25:13:56, 11.59s/it] 22%|██▏ | 2162/10000 [8:13:44<26:15:35, 12.06s/it] 22%|██▏ | 2163/10000 [8:13:57<27:00:13, 12.40s/it] 22%|██▏ | 2164/10000 [8:14:09<26:26:17, 12.15s/it] 22%|██▏ | 2165/10000 [8:14:20<26:00:46, 11.95s/it] 22%|██▏ | 2166/10000 [8:14:32<25:25:06, 11.68s/it] 22%|██▏ | 2167/10000 [8:14:44<25:39:23, 11.79s/it] 22%|██▏ | 2168/10000 [8:14:55<25:32:53, 11.74s/it] 22%|██▏ | 2169/10000 [8:15:06<25:08:34, 11.56s/it] 22%|██▏ | 2170/10000 [8:15:18<25:06:02, 11.54s/it] 22%|██▏ | 2171/10000 [8:15:31<25:56:42, 11.93s/it] 22%|██▏ | 2172/10000 [8:15:42<25:40:36, 11.81s/it] 22%|██▏ | 2173/10000 [8:15:53<25:08:42, 11.57s/it] 22%|██▏ | 2174/10000 [8:16:05<25:34:29, 11.76s/it] 22%|██▏ | 2175/10000 [8:16:17<25:39:57, 11.81s/it] 22%|██▏ | 2175/10000 [8:16:17<25:39:57, 11.81s/it] 22%|██▏ | 2176/10000 [8:16:29<25:23:29, 11.68s/it] 22%|██▏ | 2177/10000 [8:16:40<25:05:50, 11.55s/it] 22%|██▏ | 2178/10000 [8:16:51<24:55:23, 11.47s/it] 22%|██▏ | 2179/10000 [8:17:03<25:01:21, 11.52s/it] 22%|██▏ | 2180/10000 [8:17:15<25:16:03, 11.63s/it] 22%|██▏ | 2181/10000 [8:17:26<25:00:47, 11.52s/it] 22%|██▏ | 2182/10000 [8:17:38<25:16:46, 11.64s/it] 22%|██▏ | 2183/10000 [8:17:50<25:32:17, 11.76s/it] 22%|██▏ | 2184/10000 [8:18:01<24:54:43, 11.47s/it] 22%|██▏ | 2185/10000 [8:18:13<25:31:02, 11.75s/it] 22%|██▏ | 2186/10000 [8:18:25<25:23:08, 11.70s/it] 22%|██▏ | 2187/10000 [8:18:38<26:29:18, 12.21s/it] 22%|██▏ | 2188/10000 [8:18:50<26:22:19, 12.15s/it] 22%|██▏ | 2189/10000 [8:19:02<26:11:14, 12.07s/it] 22%|██▏ | 2190/10000 [8:19:15<26:26:17, 12.19s/it] 22%|██▏ | 2191/10000 [8:19:26<26:05:32, 12.03s/it] 22%|██▏ | 2192/10000 [8:19:38<26:14:00, 12.10s/it] 22%|██▏ | 2193/10000 [8:19:51<26:42:25, 12.32s/it] 22%|██▏ | 2194/10000 [8:20:04<27:05:38, 12.50s/it] 22%|██▏ | 2195/10000 [8:20:16<26:56:32, 12.43s/it] 22%|██▏ | 2196/10000 [8:20:28<26:13:25, 12.10s/it] 22%|██▏ | 2197/10000 [8:20:41<26:47:55, 12.36s/it] 22%|██▏ | 2198/10000 [8:20:53<26:43:49, 12.33s/it] 22%|██▏ | 2199/10000 [8:21:06<27:14:36, 12.57s/it] 22%|██▏ | 2200/10000 [8:21:19<27:19:56, 12.61s/it] 22%|██▏ | 2200/10000 [8:21:19<27:19:56, 12.61s/it] 22%|██▏ | 2201/10000 [8:21:31<27:18:47, 12.61s/it] 22%|██▏ | 2202/10000 [8:21:44<27:15:33, 12.58s/it] 22%|██▏ | 2203/10000 [8:21:56<27:05:05, 12.51s/it] 22%|██▏ | 2204/10000 [8:22:09<27:11:51, 12.56s/it] 22%|██▏ | 2205/10000 [8:22:22<27:36:46, 12.75s/it] 22%|██▏ | 2206/10000 [8:22:34<27:14:17, 12.58s/it] 22%|██▏ | 2207/10000 [8:22:46<26:48:12, 12.38s/it] 22%|██▏ | 2208/10000 [8:23:00<27:32:07, 12.72s/it] 22%|██▏ | 2209/10000 [8:23:12<27:17:51, 12.61s/it] 22%|██▏ | 2210/10000 [8:23:25<27:17:20, 12.61s/it] 22%|██▏ | 2211/10000 [8:23:36<26:39:37, 12.32s/it] 22%|██▏ | 2212/10000 [8:23:50<27:13:07, 12.58s/it] 22%|██▏ | 2213/10000 [8:24:03<27:39:13, 12.78s/it] 22%|██▏ | 2214/10000 [8:24:14<26:54:27, 12.44s/it] 22%|██▏ | 2215/10000 [8:24:27<27:05:48, 12.53s/it] 22%|██▏ | 2216/10000 [8:24:39<26:49:59, 12.41s/it] 22%|██▏ | 2217/10000 [8:24:51<26:24:59, 12.22s/it] 22%|██▏ | 2218/10000 [8:25:03<26:30:40, 12.26s/it] 22%|██▏ | 2219/10000 [8:25:16<26:43:15, 12.36s/it] 22%|██▏ | 2220/10000 [8:25:29<26:59:51, 12.49s/it] 22%|██▏ | 2221/10000 [8:25:41<26:51:14, 12.43s/it] 22%|██▏ | 2222/10000 [8:25:53<26:33:14, 12.29s/it] 22%|██▏ | 2223/10000 [8:26:05<26:32:19, 12.28s/it] 22%|██▏ | 2224/10000 [8:26:18<26:29:48, 12.27s/it] 22%|██▏ | 2225/10000 [8:26:30<26:17:14, 12.17s/it] 22%|██▏ | 2225/10000 [8:26:30<26:17:14, 12.17s/it] 22%|██▏ | 2226/10000 [8:26:42<26:45:51, 12.39s/it] 22%|██▏ | 2227/10000 [8:26:54<26:12:21, 12.14s/it] 22%|██▏ | 2228/10000 [8:27:07<26:42:01, 12.37s/it] 22%|██▏ | 2229/10000 [8:27:19<26:20:13, 12.20s/it] 22%|██▏ | 2230/10000 [8:27:31<26:09:28, 12.12s/it] 22%|██▏ | 2231/10000 [8:27:46<28:22:15, 13.15s/it] 22%|██▏ | 2232/10000 [8:27:58<27:32:54, 12.77s/it] 22%|██▏ | 2233/10000 [8:28:10<27:17:47, 12.65s/it] 22%|██▏ | 2234/10000 [8:28:23<26:59:38, 12.51s/it] 22%|██▏ | 2235/10000 [8:28:35<26:35:00, 12.32s/it] 22%|██▏ | 2236/10000 [8:28:47<26:47:45, 12.42s/it] 22%|██▏ | 2237/10000 [8:28:59<26:20:12, 12.21s/it] 22%|██▏ | 2238/10000 [8:29:11<26:31:10, 12.30s/it] 22%|██▏ | 2239/10000 [8:29:24<26:25:32, 12.26s/it] 22%|██▏ | 2240/10000 [8:29:36<26:18:08, 12.20s/it] 22%|██▏ | 2241/10000 [8:29:48<26:16:51, 12.19s/it] 22%|██▏ | 2242/10000 [8:30:01<26:53:18, 12.48s/it] 22%|██▏ | 2243/10000 [8:30:13<26:22:16, 12.24s/it] 22%|██▏ | 2244/10000 [8:30:24<25:28:06, 11.82s/it] 22%|██▏ | 2245/10000 [8:30:35<25:10:22, 11.69s/it] 22%|██▏ | 2246/10000 [8:30:47<25:13:17, 11.71s/it] 22%|██▏ | 2247/10000 [8:30:58<25:15:32, 11.73s/it] 22%|██▏ | 2248/10000 [8:31:10<25:11:15, 11.70s/it] 22%|██▏ | 2249/10000 [8:31:21<24:51:49, 11.55s/it] 22%|██▎ | 2250/10000 [8:31:33<24:51:16, 11.55s/it] 22%|██▎ | 2250/10000 [8:31:33<24:51:16, 11.55s/it] 23%|██▎ | 2251/10000 [8:31:44<24:52:10, 11.55s/it] 23%|██▎ | 2252/10000 [8:31:56<24:40:59, 11.47s/it] 23%|██▎ | 2253/10000 [8:32:07<24:38:04, 11.45s/it] 23%|██▎ | 2254/10000 [8:32:19<24:41:08, 11.47s/it] 23%|██▎ | 2255/10000 [8:32:30<24:33:30, 11.42s/it] 23%|██▎ | 2256/10000 [8:32:41<24:36:51, 11.44s/it] 23%|██▎ | 2257/10000 [8:32:54<25:16:33, 11.75s/it] 23%|██▎ | 2258/10000 [8:33:06<25:15:00, 11.74s/it] 23%|██▎ | 2259/10000 [8:33:17<24:58:39, 11.62s/it] 23%|██▎ | 2260/10000 [8:33:30<25:53:25, 12.04s/it] 23%|██▎ | 2261/10000 [8:33:43<26:44:20, 12.44s/it] 23%|██▎ | 2262/10000 [8:33:54<25:56:06, 12.07s/it] 23%|██▎ | 2263/10000 [8:34:06<25:50:16, 12.02s/it] 23%|██▎ | 2264/10000 [8:34:18<25:24:36, 11.82s/it] 23%|██▎ | 2265/10000 [8:34:29<24:57:26, 11.62s/it] 23%|██▎ | 2266/10000 [8:34:40<24:27:01, 11.38s/it] 23%|██▎ | 2267/10000 [8:34:51<24:41:08, 11.49s/it] 23%|██▎ | 2268/10000 [8:35:03<24:51:33, 11.57s/it] 23%|██▎ | 2269/10000 [8:35:14<24:33:45, 11.44s/it] 23%|██▎ | 2270/10000 [8:35:26<24:55:58, 11.61s/it] 23%|██▎ | 2271/10000 [8:35:37<24:36:58, 11.47s/it] 23%|██▎ | 2272/10000 [8:35:49<24:48:55, 11.56s/it] 23%|██▎ | 2273/10000 [8:36:01<24:57:58, 11.63s/it] 23%|██▎ | 2274/10000 [8:36:13<25:26:30, 11.85s/it] 23%|██▎ | 2275/10000 [8:36:25<25:04:33, 11.69s/it] 23%|██▎ | 2275/10000 [8:36:25<25:04:33, 11.69s/it] 23%|██▎ | 2276/10000 [8:36:37<25:14:34, 11.77s/it] 23%|██▎ | 2277/10000 [8:36:49<25:46:48, 12.02s/it] 23%|██▎ | 2278/10000 [8:37:00<25:12:43, 11.75s/it] 23%|██▎ | 2279/10000 [8:37:12<24:56:00, 11.63s/it] 23%|██▎ | 2280/10000 [8:37:24<25:04:06, 11.69s/it] 23%|██▎ | 2281/10000 [8:37:35<25:03:16, 11.68s/it] 23%|██▎ | 2282/10000 [8:37:47<25:12:26, 11.76s/it] 23%|██▎ | 2283/10000 [8:37:58<24:38:54, 11.50s/it] 23%|██▎ | 2284/10000 [8:38:09<24:19:10, 11.35s/it] 23%|██▎ | 2285/10000 [8:38:21<24:25:37, 11.40s/it] 23%|██▎ | 2286/10000 [8:38:33<25:00:54, 11.67s/it] 23%|██▎ | 2287/10000 [8:38:45<25:11:17, 11.76s/it] 23%|██▎ | 2288/10000 [8:38:56<24:43:54, 11.54s/it] 23%|██▎ | 2289/10000 [8:39:07<24:29:58, 11.44s/it] 23%|██▎ | 2290/10000 [8:39:19<24:45:33, 11.56s/it] 23%|██▎ | 2291/10000 [8:39:30<24:38:56, 11.51s/it] 23%|██▎ | 2292/10000 [8:39:42<24:47:21, 11.58s/it] 23%|██▎ | 2293/10000 [8:39:53<24:29:58, 11.44s/it] 23%|██▎ | 2294/10000 [8:40:05<24:46:24, 11.57s/it] 23%|██▎ | 2295/10000 [8:40:18<25:49:49, 12.07s/it] 23%|██▎ | 2296/10000 [8:40:32<26:54:07, 12.57s/it] 23%|██▎ | 2297/10000 [8:40:43<26:09:18, 12.22s/it] 23%|██▎ | 2298/10000 [8:40:55<25:33:48, 11.95s/it] 23%|██▎ | 2299/10000 [8:41:06<25:06:58, 11.74s/it] 23%|██▎ | 2300/10000 [8:41:17<24:47:21, 11.59s/it] 23%|██▎ | 2300/10000 [8:41:17<24:47:21, 11.59s/it] 23%|██▎ | 2301/10000 [8:41:29<25:00:20, 11.69s/it] 23%|██▎ | 2302/10000 [8:41:41<25:16:29, 11.82s/it] 23%|██▎ | 2303/10000 [8:41:52<24:36:04, 11.51s/it] 23%|██▎ | 2304/10000 [8:42:04<24:41:56, 11.55s/it] 23%|██▎ | 2305/10000 [8:42:16<24:51:58, 11.63s/it] 23%|██▎ | 2306/10000 [8:42:27<24:54:26, 11.65s/it] 23%|██▎ | 2307/10000 [8:42:41<26:26:51, 12.38s/it] 23%|██▎ | 2308/10000 [8:42:54<26:20:25, 12.33s/it] 23%|██▎ | 2309/10000 [8:43:06<26:10:58, 12.26s/it] 23%|██▎ | 2310/10000 [8:43:16<25:09:23, 11.78s/it] 23%|██▎ | 2311/10000 [8:43:28<24:58:23, 11.69s/it] 23%|██▎ | 2312/10000 [8:43:39<24:39:40, 11.55s/it] 23%|██▎ | 2313/10000 [8:43:51<25:08:49, 11.78s/it] 23%|██▎ | 2314/10000 [8:44:03<25:13:15, 11.81s/it] 23%|██▎ | 2315/10000 [8:44:14<24:45:00, 11.59s/it] 23%|██▎ | 2316/10000 [8:44:27<25:28:02, 11.93s/it] 23%|██▎ | 2317/10000 [8:44:39<25:19:52, 11.87s/it] 23%|██▎ | 2318/10000 [8:44:50<24:57:24, 11.70s/it] 23%|██▎ | 2319/10000 [8:45:01<24:43:47, 11.59s/it] 23%|██▎ | 2320/10000 [8:45:14<25:09:39, 11.79s/it] 23%|██▎ | 2321/10000 [8:45:26<25:22:30, 11.90s/it] 23%|██▎ | 2322/10000 [8:45:38<25:25:53, 11.92s/it] 23%|██▎ | 2323/10000 [8:45:50<25:42:13, 12.05s/it] 23%|██▎ | 2324/10000 [8:46:02<25:49:18, 12.11s/it] 23%|██▎ | 2325/10000 [8:46:14<25:39:59, 12.04s/it] 23%|██▎ | 2325/10000 [8:46:14<25:39:59, 12.04s/it] 23%|██▎ | 2326/10000 [8:46:26<25:19:53, 11.88s/it] 23%|██▎ | 2327/10000 [8:46:39<26:23:11, 12.38s/it] 23%|██▎ | 2328/10000 [8:46:52<26:36:16, 12.48s/it] 23%|██▎ | 2329/10000 [8:47:05<26:41:05, 12.52s/it] 23%|██▎ | 2330/10000 [8:47:16<26:13:08, 12.31s/it] 23%|██▎ | 2331/10000 [8:47:28<25:51:43, 12.14s/it] 23%|██▎ | 2332/10000 [8:47:40<25:34:58, 12.01s/it] 23%|██▎ | 2333/10000 [8:47:51<25:11:12, 11.83s/it] 23%|██▎ | 2334/10000 [8:48:04<25:37:41, 12.04s/it] 23%|██▎ | 2335/10000 [8:48:16<25:52:13, 12.15s/it] 23%|██▎ | 2336/10000 [8:48:28<25:33:27, 12.01s/it] 23%|██▎ | 2337/10000 [8:48:40<25:33:41, 12.01s/it] 23%|██▎ | 2338/10000 [8:48:53<26:09:26, 12.29s/it] 23%|██▎ | 2339/10000 [8:49:05<25:50:21, 12.14s/it] 23%|██▎ | 2340/10000 [8:49:17<26:08:52, 12.29s/it] 23%|██▎ | 2341/10000 [8:49:29<25:53:01, 12.17s/it] 23%|██▎ | 2342/10000 [8:49:42<26:00:58, 12.23s/it] 23%|██▎ | 2343/10000 [8:49:53<25:47:57, 12.13s/it] 23%|██▎ | 2344/10000 [8:50:06<26:20:56, 12.39s/it] 23%|██▎ | 2345/10000 [8:50:18<26:01:23, 12.24s/it] 23%|██▎ | 2346/10000 [8:50:31<26:01:52, 12.24s/it] 23%|██▎ | 2347/10000 [8:50:43<25:55:32, 12.20s/it] 23%|██▎ | 2348/10000 [8:50:55<25:47:49, 12.14s/it] 23%|██▎ | 2349/10000 [8:51:06<25:34:54, 12.04s/it] 24%|██▎ | 2350/10000 [8:51:18<25:33:26, 12.03s/it] 24%|██▎ | 2350/10000 [8:51:18<25:33:26, 12.03s/it] 24%|██▎ | 2351/10000 [8:51:30<25:31:48, 12.02s/it] 24%|██▎ | 2352/10000 [8:51:43<25:44:23, 12.12s/it] 24%|██▎ | 2353/10000 [8:51:56<26:36:06, 12.52s/it] 24%|██▎ | 2354/10000 [8:52:08<25:51:43, 12.18s/it] 24%|██▎ | 2355/10000 [8:52:20<26:00:50, 12.25s/it] 24%|██▎ | 2356/10000 [8:52:32<25:35:09, 12.05s/it] 24%|██▎ | 2357/10000 [8:52:44<25:28:58, 12.00s/it] 24%|██▎ | 2358/10000 [8:52:55<25:18:34, 11.92s/it] 24%|██▎ | 2359/10000 [8:53:07<25:20:43, 11.94s/it] 24%|██▎ | 2360/10000 [8:53:19<25:20:10, 11.94s/it] 24%|██▎ | 2361/10000 [8:53:31<25:13:33, 11.89s/it] 24%|██▎ | 2362/10000 [8:53:43<25:04:32, 11.82s/it] 24%|██▎ | 2363/10000 [8:53:54<25:04:06, 11.82s/it] 24%|██▎ | 2364/10000 [8:54:06<25:00:24, 11.79s/it] 24%|██▎ | 2365/10000 [8:54:18<25:02:30, 11.81s/it] 24%|██▎ | 2366/10000 [8:54:30<25:26:54, 12.00s/it] 24%|██▎ | 2367/10000 [8:54:42<25:24:00, 11.98s/it] 24%|██▎ | 2368/10000 [8:54:57<27:11:36, 12.83s/it] 24%|██▎ | 2369/10000 [8:55:09<26:22:59, 12.45s/it] 24%|██▎ | 2370/10000 [8:55:22<26:35:43, 12.55s/it] 24%|██▎ | 2371/10000 [8:55:34<26:35:49, 12.55s/it] 24%|██▎ | 2372/10000 [8:55:46<26:19:28, 12.42s/it] 24%|██▎ | 2373/10000 [8:55:59<26:13:17, 12.38s/it] 24%|██▎ | 2374/10000 [8:56:11<26:05:30, 12.32s/it] 24%|██▍ | 2375/10000 [8:56:23<25:53:11, 12.22s/it] 24%|██▍ | 2375/10000 [8:56:23<25:53:11, 12.22s/it] 24%|██▍ | 2376/10000 [8:56:35<25:42:05, 12.14s/it] 24%|██▍ | 2377/10000 [8:56:47<25:32:52, 12.07s/it] 24%|██▍ | 2378/10000 [8:56:59<25:34:20, 12.08s/it] 24%|██▍ | 2379/10000 [8:57:11<25:36:29, 12.10s/it] 24%|██▍ | 2380/10000 [8:57:22<25:02:03, 11.83s/it] 24%|██▍ | 2381/10000 [8:57:34<25:13:46, 11.92s/it] 24%|██▍ | 2382/10000 [8:57:45<24:33:52, 11.61s/it] 24%|██▍ | 2383/10000 [8:57:57<24:35:16, 11.62s/it] 24%|██▍ | 2384/10000 [8:58:08<24:39:29, 11.66s/it] 24%|██▍ | 2385/10000 [8:58:20<24:33:31, 11.61s/it] 24%|██▍ | 2386/10000 [8:58:31<24:25:16, 11.55s/it] 24%|██▍ | 2387/10000 [8:58:43<24:13:32, 11.46s/it] 24%|██▍ | 2388/10000 [8:58:54<24:11:44, 11.44s/it] 24%|██▍ | 2389/10000 [8:59:05<24:14:46, 11.47s/it] 24%|██▍ | 2390/10000 [8:59:17<24:08:14, 11.42s/it] 24%|██▍ | 2391/10000 [8:59:28<24:13:09, 11.46s/it] 24%|██▍ | 2392/10000 [8:59:39<23:59:36, 11.35s/it] 24%|██▍ | 2393/10000 [8:59:50<23:45:21, 11.24s/it] 24%|██▍ | 2394/10000 [9:00:02<23:49:25, 11.28s/it] 24%|██▍ | 2395/10000 [9:00:14<24:07:47, 11.42s/it] 24%|██▍ | 2396/10000 [9:00:27<25:26:27, 12.04s/it] 24%|██▍ | 2397/10000 [9:00:40<26:00:08, 12.31s/it] 24%|██▍ | 2398/10000 [9:00:52<25:37:11, 12.13s/it] 24%|██▍ | 2399/10000 [9:01:04<25:40:59, 12.16s/it] 24%|██▍ | 2400/10000 [9:01:16<25:28:33, 12.07s/it] 24%|██▍ | 2400/10000 [9:01:16<25:28:33, 12.07s/it] 24%|██▍ | 2401/10000 [9:01:27<24:40:12, 11.69s/it] 24%|██▍ | 2402/10000 [9:01:38<24:37:43, 11.67s/it] 24%|██▍ | 2403/10000 [9:01:51<25:24:18, 12.04s/it] 24%|██▍ | 2404/10000 [9:02:03<25:05:51, 11.89s/it] 24%|██▍ | 2405/10000 [9:02:14<24:36:08, 11.66s/it] 24%|██▍ | 2406/10000 [9:02:25<24:15:23, 11.50s/it] 24%|██▍ | 2407/10000 [9:02:36<24:13:56, 11.49s/it] 24%|██▍ | 2408/10000 [9:02:47<23:58:48, 11.37s/it] 24%|██▍ | 2409/10000 [9:02:59<24:10:15, 11.46s/it] 24%|██▍ | 2410/10000 [9:03:10<23:57:35, 11.36s/it] 24%|██▍ | 2411/10000 [9:03:22<23:53:52, 11.34s/it] 24%|██▍ | 2412/10000 [9:03:35<24:57:48, 11.84s/it] 24%|██▍ | 2413/10000 [9:03:46<24:54:53, 11.82s/it] 24%|██▍ | 2414/10000 [9:03:58<24:35:43, 11.67s/it] 24%|██▍ | 2415/10000 [9:04:10<24:52:50, 11.81s/it] 24%|██▍ | 2416/10000 [9:04:21<24:44:08, 11.74s/it] 24%|██▍ | 2417/10000 [9:04:33<24:43:05, 11.73s/it] 24%|██▍ | 2418/10000 [9:04:44<24:18:52, 11.54s/it] 24%|██▍ | 2419/10000 [9:04:57<25:16:19, 12.00s/it] 24%|██▍ | 2420/10000 [9:05:09<24:53:50, 11.82s/it] 24%|██▍ | 2421/10000 [9:05:20<24:42:52, 11.74s/it] 24%|██▍ | 2422/10000 [9:05:34<25:46:24, 12.24s/it] 24%|██▍ | 2423/10000 [9:05:45<25:01:48, 11.89s/it] 24%|██▍ | 2424/10000 [9:05:58<26:00:48, 12.36s/it] 24%|██▍ | 2425/10000 [9:06:11<26:06:57, 12.41s/it] 24%|██▍ | 2425/10000 [9:06:11<26:06:57, 12.41s/it] 24%|██▍ | 2426/10000 [9:06:23<25:52:54, 12.30s/it] 24%|██▍ | 2427/10000 [9:06:35<25:40:54, 12.21s/it] 24%|██▍ | 2428/10000 [9:06:46<25:21:30, 12.06s/it] 24%|██▍ | 2429/10000 [9:06:59<25:28:27, 12.11s/it] 24%|██▍ | 2430/10000 [9:07:11<25:29:54, 12.13s/it] 24%|██▍ | 2431/10000 [9:07:25<26:38:50, 12.67s/it] 24%|██▍ | 2432/10000 [9:07:37<26:12:17, 12.47s/it] 24%|██▍ | 2433/10000 [9:07:49<26:13:14, 12.47s/it] 24%|██▍ | 2434/10000 [9:08:02<26:15:56, 12.50s/it] 24%|██▍ | 2435/10000 [9:08:14<25:53:25, 12.32s/it] 24%|██▍ | 2436/10000 [9:08:26<25:45:25, 12.26s/it] 24%|██▍ | 2437/10000 [9:08:39<26:27:20, 12.59s/it] 24%|██▍ | 2438/10000 [9:08:52<26:48:51, 12.77s/it] 24%|██▍ | 2439/10000 [9:09:04<26:11:47, 12.47s/it] 24%|██▍ | 2440/10000 [9:09:16<25:59:51, 12.38s/it] 24%|██▍ | 2441/10000 [9:09:29<26:08:30, 12.45s/it] 24%|██▍ | 2442/10000 [9:09:41<26:11:40, 12.48s/it] 24%|██▍ | 2443/10000 [9:09:53<25:39:50, 12.23s/it] 24%|██▍ | 2444/10000 [9:10:05<25:27:42, 12.13s/it] 24%|██▍ | 2445/10000 [9:10:17<25:37:30, 12.21s/it] 24%|██▍ | 2446/10000 [9:10:31<26:15:29, 12.51s/it] 24%|██▍ | 2447/10000 [9:10:42<25:36:34, 12.21s/it] 24%|██▍ | 2448/10000 [9:10:55<25:55:42, 12.36s/it] 24%|██▍ | 2449/10000 [9:11:06<25:28:11, 12.14s/it] 24%|██▍ | 2450/10000 [9:11:19<26:00:15, 12.40s/it] 24%|██▍ | 2450/10000 [9:11:19<26:00:15, 12.40s/it] 25%|██▍ | 2451/10000 [9:11:32<25:51:06, 12.33s/it] 25%|██▍ | 2452/10000 [9:11:44<25:56:18, 12.37s/it] 25%|██▍ | 2453/10000 [9:11:56<25:55:02, 12.36s/it] 25%|██▍ | 2454/10000 [9:12:09<25:44:41, 12.28s/it] 25%|██▍ | 2455/10000 [9:12:21<25:36:24, 12.22s/it] 25%|██▍ | 2456/10000 [9:12:33<25:32:16, 12.19s/it] 25%|██▍ | 2457/10000 [9:12:44<25:04:25, 11.97s/it] 25%|██▍ | 2458/10000 [9:12:57<25:30:37, 12.18s/it] 25%|██▍ | 2459/10000 [9:13:09<25:40:33, 12.26s/it] 25%|██▍ | 2460/10000 [9:13:23<26:18:01, 12.56s/it] 25%|██▍ | 2461/10000 [9:13:35<26:01:42, 12.43s/it] 25%|██▍ | 2462/10000 [9:13:46<25:29:15, 12.17s/it] 25%|██▍ | 2463/10000 [9:14:01<26:55:23, 12.86s/it] 25%|██▍ | 2464/10000 [9:14:13<26:48:05, 12.80s/it] 25%|██▍ | 2465/10000 [9:14:26<26:27:39, 12.64s/it] 25%|██▍ | 2466/10000 [9:14:39<27:01:37, 12.91s/it] 25%|██▍ | 2467/10000 [9:14:51<26:07:33, 12.49s/it] 25%|██▍ | 2468/10000 [9:15:03<26:02:27, 12.45s/it] 25%|██▍ | 2469/10000 [9:15:15<25:46:59, 12.32s/it] 25%|██▍ | 2470/10000 [9:15:27<25:30:21, 12.19s/it] 25%|██▍ | 2471/10000 [9:15:39<25:28:04, 12.18s/it] 25%|██▍ | 2472/10000 [9:15:51<25:19:58, 12.11s/it] 25%|██▍ | 2473/10000 [9:16:04<25:48:47, 12.35s/it] 25%|██▍ | 2474/10000 [9:16:16<25:41:00, 12.29s/it] 25%|██▍ | 2475/10000 [9:16:29<26:06:07, 12.49s/it] 25%|██▍ | 2475/10000 [9:16:29<26:06:07, 12.49s/it] 25%|██▍ | 2476/10000 [9:16:41<25:31:55, 12.22s/it] 25%|██▍ | 2477/10000 [9:16:53<25:48:41, 12.35s/it] 25%|██▍ | 2478/10000 [9:17:05<25:21:41, 12.14s/it] 25%|██▍ | 2479/10000 [9:17:17<25:13:32, 12.07s/it] 25%|██▍ | 2480/10000 [9:17:30<26:06:35, 12.50s/it] 25%|██▍ | 2481/10000 [9:17:45<27:31:48, 13.18s/it] 25%|██▍ | 2482/10000 [9:17:57<26:55:18, 12.89s/it] 25%|██▍ | 2483/10000 [9:18:09<26:15:23, 12.57s/it] 25%|██▍ | 2484/10000 [9:18:21<25:52:25, 12.39s/it] 25%|██▍ | 2485/10000 [9:18:33<25:32:09, 12.23s/it] 25%|██▍ | 2486/10000 [9:18:45<25:05:58, 12.03s/it] 25%|██▍ | 2487/10000 [9:18:57<25:32:07, 12.24s/it] 25%|██▍ | 2488/10000 [9:19:11<26:13:02, 12.56s/it] 25%|██▍ | 2489/10000 [9:19:23<25:56:59, 12.44s/it] 25%|██▍ | 2490/10000 [9:19:35<25:33:47, 12.25s/it] 25%|██▍ | 2491/10000 [9:19:47<25:50:07, 12.39s/it] 25%|██▍ | 2492/10000 [9:19:59<25:29:44, 12.22s/it] 25%|██▍ | 2493/10000 [9:20:12<25:35:27, 12.27s/it] 25%|██▍ | 2494/10000 [9:20:26<26:58:29, 12.94s/it] 25%|██▍ | 2495/10000 [9:20:37<25:50:36, 12.40s/it] 25%|██▍ | 2496/10000 [9:20:49<25:46:21, 12.36s/it] 25%|██▍ | 2497/10000 [9:21:01<25:10:36, 12.08s/it] 25%|██▍ | 2498/10000 [9:21:13<25:00:51, 12.00s/it] 25%|██▍ | 2499/10000 [9:21:25<25:22:26, 12.18s/it] 25%|██▌ | 2500/10000 [9:21:38<25:28:13, 12.23s/it] 25%|██▌ | 2500/10000 [9:21:38<25:28:13, 12.23s/it][INFO|trainer.py:2955] 2022-12-17 00:49:18,449 >> ***** Running Evaluation ***** [INFO|trainer.py:2959] 2022-12-17 00:49:18,449 >> Num examples: Unknown [INFO|trainer.py:2960] 2022-12-17 00:49:18,449 >> Batch size = 32 [INFO|trainer_utils.py:689] 2022-12-17 00:49:21,319 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length, speaker_id, duration, gender, age. If input_length, speaker_id, duration, gender, age are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. 25%|██▌ | 2500/10000 [9:34:25<25:28:13, 12.23s/it] 25%|██▌ | 2501/10000 [9:34:37<504:52:02, 242.37s/it] 25%|██▌ | 2502/10000 [9:34:49<360:36:44, 173.14s/it] 25%|██▌ | 2503/10000 [9:35:01<259:58:56, 124.84s/it] 25%|██▌ | 2504/10000 [9:35:13<189:20:58, 90.94s/it] 25%|██▌ | 2505/10000 [9:35:24<139:57:03, 67.22s/it] 25%|██▌ | 2506/10000 [9:35:36<105:21:22, 50.61s/it] 25%|██▌ | 2507/10000 [9:35:47<80:33:09, 38.70s/it] 25%|██▌ | 2508/10000 [9:36:00<64:16:55, 30.89s/it] 25%|██▌ | 2509/10000 [9:36:12<52:35:30, 25.27s/it] 25%|██▌ | 2510/10000 [9:36:23<43:45:56, 21.04s/it] 25%|██▌ | 2511/10000 [9:36:36<38:23:42, 18.46s/it] 25%|██▌ | 2512/10000 [9:36:47<34:05:09, 16.39s/it] 25%|██▌ | 2513/10000 [9:36:58<30:51:22, 14.84s/it] 25%|██▌ | 2514/10000 [9:37:11<29:20:57, 14.11s/it] 25%|██▌ | 2515/10000 [9:37:23<27:52:15, 13.40s/it] 25%|██▌ | 2516/10000 [9:37:34<26:36:43, 12.80s/it] 25%|██▌ | 2517/10000 [9:37:47<26:55:43, 12.96s/it] 25%|██▌ | 2518/10000 [9:38:00<26:58:28, 12.98s/it] 25%|██▌ | 2519/10000 [9:38:12<26:20:57, 12.68s/it] 25%|██▌ | 2520/10000 [9:38:25<26:32:38, 12.78s/it] 25%|██▌ | 2521/10000 [9:38:38<26:46:02, 12.88s/it] 25%|██▌ | 2522/10000 [9:38:51<26:33:26, 12.79s/it] 25%|██▌ | 2523/10000 [9:39:03<26:13:00, 12.62s/it] 25%|██▌ | 2524/10000 [9:39:15<25:46:57, 12.42s/it] 25%|██▌ | 2525/10000 [9:39:27<25:40:31, 12.37s/it] 25%|██▌ | 2525/10000 [9:39:27<25:40:31, 12.37s/it] 25%|██▌ | 2526/10000 [9:39:40<25:33:38, 12.31s/it] 25%|██▌ | 2527/10000 [9:39:52<25:28:47, 12.27s/it] 25%|██▌ | 2528/10000 [9:40:04<25:39:14, 12.36s/it] 25%|██▌ | 2529/10000 [9:40:16<25:08:42, 12.12s/it] 25%|██▌ | 2530/10000 [9:40:28<25:21:03, 12.22s/it] 25%|██▌ | 2531/10000 [9:40:40<25:15:42, 12.18s/it] 25%|██▌ | 2532/10000 [9:40:52<24:45:34, 11.94s/it] 25%|██▌ | 2533/10000 [9:41:05<25:28:57, 12.29s/it] 25%|██▌ | 2534/10000 [9:41:17<25:16:28, 12.19s/it] 25%|██▌ | 2535/10000 [9:41:31<26:46:11, 12.91s/it] 25%|██▌ | 2536/10000 [9:41:44<26:48:00, 12.93s/it] 25%|██▌ | 2537/10000 [9:41:56<26:16:19, 12.67s/it] 25%|██▌ | 2538/10000 [9:42:09<26:26:28, 12.76s/it] 25%|██▌ | 2539/10000 [9:42:22<26:14:59, 12.67s/it] 25%|██▌ | 2540/10000 [9:42:33<25:23:43, 12.26s/it] 25%|██▌ | 2541/10000 [9:42:47<26:10:31, 12.63s/it] 25%|██▌ | 2542/10000 [9:42:59<26:16:03, 12.68s/it] 25%|██▌ | 2543/10000 [9:43:11<25:48:04, 12.46s/it] 25%|██▌ | 2544/10000 [9:43:23<25:27:28, 12.29s/it] 25%|██▌ | 2545/10000 [9:43:35<25:09:49, 12.15s/it] 25%|██▌ | 2546/10000 [9:43:47<25:11:34, 12.17s/it] 25%|██▌ | 2547/10000 [9:43:59<24:49:41, 11.99s/it] 25%|██▌ | 2548/10000 [9:44:11<25:06:43, 12.13s/it] 25%|██▌ | 2549/10000 [9:44:25<25:48:24, 12.47s/it] 26%|██▌ | 2550/10000 [9:44:37<25:28:49, 12.31s/it] 26%|██▌ | 2550/10000 [9:44:37<25:28:49, 12.31s/it] 26%|██▌ | 2551/10000 [9:44:49<25:25:07, 12.28s/it] 26%|██▌ | 2552/10000 [9:45:01<25:08:56, 12.16s/it] 26%|██▌ | 2553/10000 [9:45:13<25:02:50, 12.11s/it] 26%|██▌ | 2554/10000 [9:45:26<25:48:00, 12.47s/it] 26%|██▌ | 2555/10000 [9:45:39<25:51:24, 12.50s/it] 26%|██▌ | 2556/10000 [9:45:50<25:19:42, 12.25s/it] 26%|██▌ | 2557/10000 [9:46:03<25:23:32, 12.28s/it] 26%|██▌ | 2558/10000 [9:46:13<24:16:46, 11.75s/it] 26%|██▌ | 2559/10000 [9:46:25<24:28:09, 11.84s/it] 26%|██▌ | 2560/10000 [9:46:37<24:31:02, 11.86s/it] 26%|██▌ | 2561/10000 [9:46:49<24:29:42, 11.85s/it] 26%|██▌ | 2562/10000 [9:47:01<24:32:49, 11.88s/it] 26%|██▌ | 2563/10000 [9:47:12<24:01:31, 11.63s/it] 26%|██▌ | 2564/10000 [9:47:23<23:59:50, 11.62s/it] 26%|██▌ | 2565/10000 [9:47:36<24:15:09, 11.74s/it] 26%|██▌ | 2566/10000 [9:47:48<24:32:38, 11.89s/it] 26%|██▌ | 2567/10000 [9:47:59<24:27:16, 11.84s/it] 26%|██▌ | 2568/10000 [9:48:11<24:20:55, 11.79s/it] 26%|██▌ | 2569/10000 [9:48:23<24:12:26, 11.73s/it] 26%|██▌ | 2570/10000 [9:48:34<23:53:32, 11.58s/it] 26%|██▌ | 2571/10000 [9:48:46<24:07:43, 11.69s/it] 26%|██▌ | 2572/10000 [9:48:58<24:04:33, 11.67s/it] 26%|██▌ | 2573/10000 [9:49:09<23:58:16, 11.62s/it] 26%|██▌ | 2574/10000 [9:49:20<23:49:34, 11.55s/it] 26%|██▌ | 2575/10000 [9:49:33<24:17:12, 11.78s/it] 26%|██▌ | 2575/10000 [9:49:33<24:17:12, 11.78s/it] 26%|██▌ | 2576/10000 [9:49:45<24:46:53, 12.02s/it] 26%|██▌ | 2577/10000 [9:49:57<24:19:09, 11.79s/it] 26%|██▌ | 2578/10000 [9:50:08<24:12:12, 11.74s/it] 26%|██▌ | 2579/10000 [9:50:19<23:51:28, 11.57s/it] 26%|██▌ | 2580/10000 [9:50:30<23:25:01, 11.36s/it] 26%|██▌ | 2581/10000 [9:50:43<24:04:21, 11.68s/it] 26%|██▌ | 2582/10000 [9:50:54<23:46:37, 11.54s/it] 26%|██▌ | 2583/10000 [9:51:06<24:05:50, 11.70s/it] 26%|██▌ | 2584/10000 [9:51:17<23:27:19, 11.39s/it] 26%|██▌ | 2585/10000 [9:51:29<24:16:05, 11.78s/it] 26%|██▌ | 2586/10000 [9:51:41<23:56:37, 11.63s/it] 26%|██▌ | 2587/10000 [9:51:51<23:18:42, 11.32s/it] 26%|██▌ | 2588/10000 [9:52:03<23:24:13, 11.37s/it] 26%|██▌ | 2589/10000 [9:52:14<23:38:39, 11.49s/it] 26%|██▌ | 2590/10000 [9:52:26<23:31:00, 11.43s/it] 26%|██▌ | 2591/10000 [9:52:39<24:26:43, 11.88s/it] 26%|██▌ | 2592/10000 [9:52:50<23:56:16, 11.63s/it] 26%|██▌ | 2593/10000 [9:53:03<24:52:42, 12.09s/it] 26%|██▌ | 2594/10000 [9:53:14<24:23:19, 11.86s/it] 26%|██▌ | 2595/10000 [9:53:27<25:13:25, 12.26s/it] 26%|██▌ | 2596/10000 [9:53:39<25:04:42, 12.19s/it] 26%|██▌ | 2597/10000 [9:53:52<25:03:06, 12.18s/it] 26%|██▌ | 2598/10000 [9:54:04<25:17:03, 12.30s/it] 26%|██▌ | 2599/10000 [9:54:15<24:42:09, 12.02s/it] 26%|██▌ | 2600/10000 [9:54:28<25:01:27, 12.17s/it] 26%|██▌ | 2600/10000 [9:54:28<25:01:27, 12.17s/it] 26%|██▌ | 2601/10000 [9:54:41<25:33:40, 12.44s/it] 26%|██▌ | 2602/10000 [9:54:53<25:12:21, 12.27s/it] 26%|██▌ | 2603/10000 [9:55:05<25:04:37, 12.20s/it] 26%|██▌ | 2604/10000 [9:55:17<25:13:48, 12.28s/it] 26%|██▌ | 2605/10000 [9:55:30<25:20:44, 12.34s/it] 26%|██▌ | 2606/10000 [9:55:41<24:50:36, 12.10s/it] 26%|██▌ | 2607/10000 [9:55:53<24:45:06, 12.05s/it] 26%|██▌ | 2608/10000 [9:56:06<25:04:45, 12.21s/it] 26%|██▌ | 2609/10000 [9:56:19<25:40:52, 12.51s/it] 26%|██▌ | 2610/10000 [9:56:33<26:11:06, 12.76s/it] 26%|██▌ | 2611/10000 [9:56:45<25:41:47, 12.52s/it] 26%|██▌ | 2612/10000 [9:56:57<25:27:34, 12.41s/it] 26%|██▌ | 2613/10000 [9:57:08<24:36:43, 11.99s/it] 26%|██▌ | 2614/10000 [9:57:20<24:55:18, 12.15s/it] 26%|██▌ | 2615/10000 [9:57:32<24:47:39, 12.09s/it] 26%|██▌ | 2616/10000 [9:57:47<26:16:03, 12.81s/it] 26%|██▌ | 2617/10000 [9:57:59<25:46:20, 12.57s/it] 26%|██▌ | 2618/10000 [9:58:11<25:21:05, 12.36s/it] 26%|██▌ | 2619/10000 [9:58:22<25:02:31, 12.21s/it] 26%|██▌ | 2620/10000 [9:58:35<25:20:43, 12.36s/it] 26%|██▌ | 2621/10000 [9:58:47<25:04:37, 12.23s/it] 26%|██▌ | 2622/10000 [9:59:00<25:14:39, 12.32s/it] 26%|██▌ | 2623/10000 [9:59:16<28:00:57, 13.67s/it] 26%|██▌ | 2624/10000 [9:59:29<27:05:20, 13.22s/it] 26%|██▋ | 2625/10000 [9:59:41<26:22:48, 12.88s/it] {'loss': 1.7177, 'learning_rate': 4.800000000000001e-07, 'epoch': 0.0} {'loss': 1.5637, 'learning_rate': 9.800000000000001e-07, 'epoch': 0.01} {'loss': 1.2292, 'learning_rate': 1.48e-06, 'epoch': 0.01} {'loss': 1.0198, 'learning_rate': 1.98e-06, 'epoch': 0.01} {'loss': 0.8947, 'learning_rate': 2.4800000000000004e-06, 'epoch': 0.01} {'loss': 0.7951, 'learning_rate': 2.9800000000000003e-06, 'epoch': 0.01} {'loss': 0.7974, 'learning_rate': 3.48e-06, 'epoch': 0.02} {'loss': 0.6881, 'learning_rate': 3.980000000000001e-06, 'epoch': 0.02} {'loss': 0.6317, 'learning_rate': 4.48e-06, 'epoch': 0.02} {'loss': 0.6456, 'learning_rate': 4.980000000000001e-06, 'epoch': 0.03} {'loss': 0.6474, 'learning_rate': 5.480000000000001e-06, 'epoch': 0.03} {'loss': 0.5442, 'learning_rate': 5.98e-06, 'epoch': 0.03} {'loss': 0.5479, 'learning_rate': 6.480000000000001e-06, 'epoch': 0.03} {'loss': 0.5044, 'learning_rate': 6.98e-06, 'epoch': 0.04} {'loss': 0.4736, 'learning_rate': 7.48e-06, 'epoch': 0.04} {'loss': 0.4371, 'learning_rate': 7.980000000000002e-06, 'epoch': 0.04} {'loss': 0.3998, 'learning_rate': 8.48e-06, 'epoch': 0.04} {'loss': 0.4472, 'learning_rate': 8.98e-06, 'epoch': 0.04} {'loss': 0.3922, 'learning_rate': 9.48e-06, 'epoch': 0.05} {'loss': 0.395, 'learning_rate': 9.980000000000001e-06, 'epoch': 0.05} {'eval_loss': 0.35549187660217285, 'eval_wer': 24.956019100276453, 'eval_runtime': 759.9751, 'eval_samples_per_second': 1.316, 'eval_steps_per_second': 0.042, 'epoch': 0.05} {'loss': 0.3836, 'learning_rate': 9.974736842105263e-06, 'epoch': 0.05} {'loss': 0.34, 'learning_rate': 9.94842105263158e-06, 'epoch': 0.06} {'loss': 0.3304, 'learning_rate': 9.922105263157895e-06, 'epoch': 0.06} {'loss': 0.3647, 'learning_rate': 9.895789473684212e-06, 'epoch': 0.06} {'loss': 0.3326, 'learning_rate': 9.869473684210528e-06, 'epoch': 0.06} {'loss': 0.3423, 'learning_rate': 9.843157894736843e-06, 'epoch': 0.07} {'loss': 0.3459, 'learning_rate': 9.816842105263158e-06, 'epoch': 0.07} {'loss': 0.362, 'learning_rate': 9.790526315789475e-06, 'epoch': 0.07} {'loss': 0.3822, 'learning_rate': 9.76421052631579e-06, 'epoch': 0.07} {'loss': 0.3344, 'learning_rate': 9.737894736842107e-06, 'epoch': 0.07} {'loss': 0.3135, 'learning_rate': 9.711578947368422e-06, 'epoch': 0.08} {'loss': 0.307, 'learning_rate': 9.685263157894738e-06, 'epoch': 0.08} {'loss': 0.3045, 'learning_rate': 9.658947368421053e-06, 'epoch': 0.08} {'loss': 0.3216, 'learning_rate': 9.63263157894737e-06, 'epoch': 0.09} {'loss': 0.2864, 'learning_rate': 9.606315789473685e-06, 'epoch': 0.09} {'loss': 0.3036, 'learning_rate': 9.58e-06, 'epoch': 0.09} {'loss': 0.2933, 'learning_rate': 9.553684210526316e-06, 'epoch': 0.09} {'loss': 0.2854, 'learning_rate': 9.527368421052631e-06, 'epoch': 0.1} {'loss': 0.292, 'learning_rate': 9.501052631578948e-06, 'epoch': 0.1} {'loss': 0.2983, 'learning_rate': 9.474736842105265e-06, 'epoch': 0.1} {'eval_loss': 0.260735422372818, 'eval_wer': 18.698165368182963, 'eval_runtime': 761.1733, 'eval_samples_per_second': 1.314, 'eval_steps_per_second': 0.042, 'epoch': 0.1} {'loss': 0.2787, 'learning_rate': 9.44842105263158e-06, 'epoch': 0.1} {'loss': 0.2946, 'learning_rate': 9.422105263157896e-06, 'epoch': 0.1} {'loss': 0.2905, 'learning_rate': 9.395789473684211e-06, 'epoch': 0.11} {'loss': 0.2777, 'learning_rate': 9.369473684210528e-06, 'epoch': 0.11} {'loss': 0.2627, 'learning_rate': 9.343157894736843e-06, 'epoch': 0.11} {'loss': 0.2871, 'learning_rate': 9.316842105263158e-06, 'epoch': 0.12} {'loss': 0.265, 'learning_rate': 9.290526315789475e-06, 'epoch': 0.12} {'loss': 0.2586, 'learning_rate': 9.26421052631579e-06, 'epoch': 0.12} {'loss': 0.2565, 'learning_rate': 9.237894736842106e-06, 'epoch': 0.12} {'loss': 0.2643, 'learning_rate': 9.211578947368421e-06, 'epoch': 0.12} {'loss': 0.2617, 'learning_rate': 9.185263157894738e-06, 'epoch': 0.13} {'loss': 0.286, 'learning_rate': 9.158947368421055e-06, 'epoch': 0.13} {'loss': 0.3104, 'learning_rate': 9.13263157894737e-06, 'epoch': 0.13} {'loss': 0.2596, 'learning_rate': 9.106315789473684e-06, 'epoch': 0.14} {'loss': 0.2839, 'learning_rate': 9.080000000000001e-06, 'epoch': 0.14} {'loss': 0.283, 'learning_rate': 9.053684210526316e-06, 'epoch': 0.14} {'loss': 0.2572, 'learning_rate': 9.027368421052633e-06, 'epoch': 0.14} {'loss': 0.2597, 'learning_rate': 9.001052631578948e-06, 'epoch': 0.14} {'loss': 0.2496, 'learning_rate': 8.974736842105264e-06, 'epoch': 0.15} {'loss': 0.2368, 'learning_rate': 8.94842105263158e-06, 'epoch': 0.15} {'eval_loss': 0.22478264570236206, 'eval_wer': 16.348328725810504, 'eval_runtime': 769.2474, 'eval_samples_per_second': 1.3, 'eval_steps_per_second': 0.042, 'epoch': 0.15} {'loss': 0.2432, 'learning_rate': 8.922105263157896e-06, 'epoch': 0.15} {'loss': 0.242, 'learning_rate': 8.895789473684211e-06, 'epoch': 0.15} {'loss': 0.2459, 'learning_rate': 8.869473684210526e-06, 'epoch': 0.16} {'loss': 0.2375, 'learning_rate': 8.843157894736843e-06, 'epoch': 0.16} {'loss': 0.2493, 'learning_rate': 8.816842105263158e-06, 'epoch': 0.16} {'loss': 0.2366, 'learning_rate': 8.790526315789474e-06, 'epoch': 0.17} {'loss': 0.2263, 'learning_rate': 8.764210526315791e-06, 'epoch': 0.17} {'loss': 0.2367, 'learning_rate': 8.737894736842106e-06, 'epoch': 0.17} {'loss': 0.2352, 'learning_rate': 8.711578947368423e-06, 'epoch': 0.17} {'loss': 0.2339, 'learning_rate': 8.685263157894738e-06, 'epoch': 0.17} {'loss': 0.2489, 'learning_rate': 8.658947368421054e-06, 'epoch': 0.18} {'loss': 0.2746, 'learning_rate': 8.63263157894737e-06, 'epoch': 0.18} {'loss': 0.262, 'learning_rate': 8.606315789473684e-06, 'epoch': 0.18} {'loss': 0.2345, 'learning_rate': 8.580000000000001e-06, 'epoch': 0.18} {'loss': 0.2414, 'learning_rate': 8.553684210526316e-06, 'epoch': 0.19} {'loss': 0.2545, 'learning_rate': 8.527368421052632e-06, 'epoch': 0.19} {'loss': 0.2441, 'learning_rate': 8.501052631578947e-06, 'epoch': 0.19} {'loss': 0.2312, 'learning_rate': 8.474736842105264e-06, 'epoch': 0.2} {'loss': 0.2449, 'learning_rate': 8.44842105263158e-06, 'epoch': 0.2} {'loss': 0.2478, 'learning_rate': 8.422105263157896e-06, 'epoch': 0.2} {'eval_loss': 0.2043939232826233, 'eval_wer': 15.003769791404874, 'eval_runtime': 878.0805, 'eval_samples_per_second': 1.139, 'eval_steps_per_second': 0.036, 'epoch': 0.2} {'loss': 0.237, 'learning_rate': 8.395789473684212e-06, 'epoch': 0.2} {'loss': 0.2233, 'learning_rate': 8.369473684210527e-06, 'epoch': 0.2} {'loss': 0.2256, 'learning_rate': 8.343157894736842e-06, 'epoch': 0.21} {'loss': 0.2284, 'learning_rate': 8.316842105263159e-06, 'epoch': 0.21} {'loss': 0.2216, 'learning_rate': 8.290526315789474e-06, 'epoch': 0.21} {'loss': 0.2186, 'learning_rate': 8.26421052631579e-06, 'epoch': 0.21} {'loss': 0.2138, 'learning_rate': 8.237894736842106e-06, 'epoch': 0.22} {'loss': 0.2199, 'learning_rate': 8.211578947368422e-06, 'epoch': 0.22} {'loss': 0.2084, 'learning_rate': 8.185263157894737e-06, 'epoch': 0.22} {'loss': 0.1959, 'learning_rate': 8.158947368421052e-06, 'epoch': 0.23} {'loss': 0.2038, 'learning_rate': 8.132631578947369e-06, 'epoch': 0.23} {'loss': 0.2021, 'learning_rate': 8.106315789473684e-06, 'epoch': 0.23} {'loss': 0.206, 'learning_rate': 8.08e-06, 'epoch': 0.23} {'loss': 0.1972, 'learning_rate': 8.053684210526317e-06, 'epoch': 0.23} {'loss': 0.1933, 'learning_rate': 8.027368421052632e-06, 'epoch': 0.24} {'loss': 0.184, 'learning_rate': 8.001052631578949e-06, 'epoch': 0.24} {'loss': 0.2261, 'learning_rate': 7.974736842105264e-06, 'epoch': 0.24} {'loss': 0.236, 'learning_rate': 7.94842105263158e-06, 'epoch': 0.24} {'loss': 0.2108, 'learning_rate': 7.922105263157895e-06, 'epoch': 0.25} {'loss': 0.2134, 'learning_rate': 7.89578947368421e-06, 'epoch': 0.25} {'eval_loss': 0.19105450809001923, 'eval_wer': 13.40789143000754, 'eval_runtime': 767.0458, 'eval_samples_per_second': 1.304, 'eval_steps_per_second': 0.042, 'epoch': 0.25} {'loss': 0.2237, 'learning_rate': 7.869473684210527e-06, 'epoch': 0.25} {'loss': 0.2108, 'learning_rate': 7.843157894736842e-06, 'epoch': 0.26} {'loss': 0.203, 'learning_rate': 7.816842105263159e-06, 'epoch': 0.26} {'loss': 0.1978, 'learning_rate': 7.790526315789474e-06, 'epoch': 0.26} 26%|██▋ | 2625/10000 [9:59:41<26:22:48, 12.88s/it] 26%|██▋ | 2626/10000 [9:59:52<25:39:38, 12.53s/it] 26%|██▋ | 2627/10000 [10:00:06<26:06:14, 12.75s/it] 26%|██▋ | 2628/10000 [10:00:19<26:15:40, 12.82s/it] 26%|██▋ | 2629/10000 [10:00:31<25:49:20, 12.61s/it] 26%|██▋ | 2630/10000 [10:00:45<26:35:53, 12.99s/it] 26%|██▋ | 2631/10000 [10:00:57<25:56:38, 12.67s/it] 26%|██▋ | 2632/10000 [10:01:09<25:56:21, 12.67s/it] 26%|██▋ | 2633/10000 [10:01:21<25:32:48, 12.48s/it] 26%|██▋ | 2634/10000 [10:01:34<25:47:39, 12.61s/it] 26%|██▋ | 2635/10000 [10:01:46<25:37:10, 12.52s/it] 26%|██▋ | 2636/10000 [10:01:59<25:33:27, 12.49s/it] 26%|██▋ | 2637/10000 [10:02:12<25:51:35, 12.64s/it] 26%|██▋ | 2638/10000 [10:02:23<25:02:16, 12.24s/it] 26%|██▋ | 2639/10000 [10:02:36<25:10:58, 12.32s/it] 26%|██▋ | 2640/10000 [10:02:49<25:36:33, 12.53s/it] 26%|██▋ | 2641/10000 [10:03:01<25:44:24, 12.59s/it] 26%|██▋ | 2642/10000 [10:03:13<25:05:40, 12.28s/it] 26%|██▋ | 2643/10000 [10:03:26<25:15:11, 12.36s/it] 26%|██▋ | 2644/10000 [10:03:38<25:06:56, 12.29s/it] 26%|██▋ | 2645/10000 [10:03:49<24:34:36, 12.03s/it] 26%|██▋ | 2646/10000 [10:04:02<25:17:34, 12.38s/it] 26%|██▋ | 2647/10000 [10:04:14<24:41:43, 12.09s/it] 26%|██▋ | 2648/10000 [10:04:26<25:03:13, 12.27s/it] 26%|██▋ | 2649/10000 [10:04:40<25:39:41, 12.57s/it] 26%|██▋ | 2650/10000 [10:04:51<24:57:35, 12.23s/it] 26%|██▋ | 2650/10000 [10:04:51<24:57:35, 12.23s/it] 27%|██▋ | 2651/10000 [10:05:03<24:41:57, 12.10s/it] 27%|██▋ | 2652/10000 [10:05:15<24:25:14, 11.96s/it] 27%|██▋ | 2653/10000 [10:05:27<24:28:03, 11.99s/it] 27%|██▋ | 2654/10000 [10:05:39<24:41:40, 12.10s/it] 27%|██▋ | 2655/10000 [10:05:51<24:57:31, 12.23s/it] 27%|██▋ | 2656/10000 [10:06:04<24:55:12, 12.22s/it] 27%|██▋ | 2657/10000 [10:06:16<25:08:46, 12.33s/it] 27%|██▋ | 2658/10000 [10:06:28<24:50:08, 12.18s/it] 27%|██▋ | 2659/10000 [10:06:41<25:28:26, 12.49s/it] 27%|██▋ | 2660/10000 [10:06:54<25:26:45, 12.48s/it] 27%|██▋ | 2661/10000 [10:07:07<26:10:56, 12.84s/it] 27%|██▋ | 2662/10000 [10:07:19<25:37:07, 12.57s/it] 27%|██▋ | 2663/10000 [10:07:31<25:01:01, 12.28s/it] 27%|██▋ | 2664/10000 [10:07:43<24:59:54, 12.27s/it] 27%|██▋ | 2665/10000 [10:07:55<24:36:31, 12.08s/it] 27%|██▋ | 2666/10000 [10:08:07<24:31:50, 12.04s/it] 27%|██▋ | 2667/10000 [10:08:19<24:21:29, 11.96s/it] 27%|██▋ | 2668/10000 [10:08:31<24:26:38, 12.00s/it] 27%|██▋ | 2669/10000 [10:08:42<24:07:14, 11.84s/it] 27%|██▋ | 2670/10000 [10:08:53<23:33:19, 11.57s/it] 27%|██▋ | 2671/10000 [10:09:04<23:24:16, 11.50s/it] 27%|██▋ | 2672/10000 [10:09:16<23:29:23, 11.54s/it] 27%|██▋ | 2673/10000 [10:09:27<22:56:46, 11.27s/it] 27%|██▋ | 2674/10000 [10:09:39<23:39:11, 11.62s/it] 27%|██▋ | 2675/10000 [10:09:50<23:15:28, 11.43s/it] 27%|██▋ | 2675/10000 [10:09:50<23:15:28, 11.43s/it] 27%|██▋ | 2676/10000 [10:10:01<23:14:02, 11.42s/it] 27%|██▋ | 2677/10000 [10:10:13<23:06:23, 11.36s/it] 27%|██▋ | 2678/10000 [10:10:25<23:46:30, 11.69s/it] 27%|██▋ | 2679/10000 [10:10:36<23:19:59, 11.47s/it] 27%|██▋ | 2680/10000 [10:10:51<25:35:56, 12.59s/it] 27%|██▋ | 2681/10000 [10:11:02<24:41:57, 12.15s/it] 27%|██▋ | 2682/10000 [10:11:14<24:27:29, 12.03s/it] 27%|██▋ | 2683/10000 [10:11:26<24:22:53, 12.00s/it] 27%|██▋ | 2684/10000 [10:11:37<23:57:05, 11.79s/it] 27%|██▋ | 2685/10000 [10:11:49<23:47:37, 11.71s/it] 27%|██▋ | 2686/10000 [10:12:01<24:10:01, 11.90s/it] 27%|██▋ | 2687/10000 [10:12:12<23:22:17, 11.51s/it] 27%|██▋ | 2688/10000 [10:12:25<24:09:49, 11.90s/it] 27%|██▋ | 2689/10000 [10:12:36<24:03:42, 11.85s/it] 27%|██▋ | 2690/10000 [10:12:49<24:31:18, 12.08s/it] 27%|██▋ | 2691/10000 [10:13:01<24:10:08, 11.90s/it] 27%|██▋ | 2692/10000 [10:13:14<24:49:27, 12.23s/it] 27%|██▋ | 2693/10000 [10:13:24<24:00:08, 11.83s/it] 27%|██▋ | 2694/10000 [10:13:36<23:58:44, 11.82s/it] 27%|██▋ | 2695/10000 [10:13:47<23:29:44, 11.58s/it] 27%|██▋ | 2696/10000 [10:14:00<23:59:22, 11.82s/it] 27%|██▋ | 2697/10000 [10:14:12<24:24:53, 12.04s/it] 27%|██▋ | 2698/10000 [10:14:24<24:09:33, 11.91s/it] 27%|██▋ | 2699/10000 [10:14:35<23:38:41, 11.66s/it] 27%|██▋ | 2700/10000 [10:14:47<23:51:25, 11.77s/it] 27%|██▋ | 2700/10000 [10:14:47<23:51:25, 11.77s/it] 27%|██▋ | 2701/10000 [10:14:59<24:08:41, 11.91s/it] 27%|██▋ | 2702/10000 [10:15:10<23:48:50, 11.75s/it] 27%|██▋ | 2703/10000 [10:15:22<23:34:12, 11.63s/it] 27%|██▋ | 2704/10000 [10:15:33<23:18:08, 11.50s/it] 27%|██▋ | 2705/10000 [10:15:45<23:20:53, 11.52s/it] 27%|██▋ | 2706/10000 [10:15:55<22:43:44, 11.22s/it] 27%|██▋ | 2707/10000 [10:16:08<23:41:07, 11.69s/it] 27%|██▋ | 2708/10000 [10:16:19<23:24:34, 11.56s/it] 27%|██▋ | 2709/10000 [10:16:32<24:05:53, 11.90s/it] 27%|██▋ | 2710/10000 [10:16:44<24:10:27, 11.94s/it] 27%|██▋ | 2711/10000 [10:16:55<23:36:23, 11.66s/it] 27%|██▋ | 2712/10000 [10:17:07<23:55:40, 11.82s/it] 27%|██▋ | 2713/10000 [10:17:22<25:34:13, 12.63s/it] 27%|██▋ | 2714/10000 [10:17:34<25:30:39, 12.60s/it] 27%|██▋ | 2715/10000 [10:17:47<25:48:30, 12.75s/it] 27%|██▋ | 2716/10000 [10:17:59<25:06:22, 12.41s/it] 27%|██▋ | 2717/10000 [10:18:11<25:01:40, 12.37s/it] 27%|██▋ | 2718/10000 [10:18:23<24:34:15, 12.15s/it] 27%|██▋ | 2719/10000 [10:18:34<23:52:32, 11.81s/it] 27%|██▋ | 2720/10000 [10:18:47<24:48:55, 12.27s/it] 27%|██▋ | 2721/10000 [10:18:59<24:29:12, 12.11s/it] 27%|██▋ | 2722/10000 [10:19:11<24:40:38, 12.21s/it] 27%|██▋ | 2723/10000 [10:19:24<24:42:04, 12.22s/it] 27%|██▋ | 2724/10000 [10:19:36<24:58:31, 12.36s/it] 27%|██▋ | 2725/10000 [10:19:49<24:56:41, 12.34s/it] 27%|██▋ | 2725/10000 [10:19:49<24:56:41, 12.34s/it] 27%|██▋ | 2726/10000 [10:20:01<25:18:27, 12.53s/it] 27%|██▋ | 2727/10000 [10:20:14<25:36:07, 12.67s/it] 27%|██▋ | 2728/10000 [10:20:28<25:56:28, 12.84s/it] 27%|██▋ | 2729/10000 [10:20:40<25:40:22, 12.71s/it] 27%|██▋ | 2730/10000 [10:20:52<24:54:53, 12.34s/it] 27%|██▋ | 2731/10000 [10:21:04<24:59:58, 12.38s/it] 27%|██▋ | 2732/10000 [10:21:16<24:39:04, 12.21s/it] 27%|██▋ | 2733/10000 [10:21:27<24:13:22, 12.00s/it] 27%|██▋ | 2734/10000 [10:21:40<24:38:07, 12.21s/it] 27%|██▋ | 2735/10000 [10:21:52<24:22:56, 12.08s/it] 27%|██▋ | 2736/10000 [10:22:04<24:26:53, 12.12s/it] 27%|██▋ | 2737/10000 [10:22:16<24:28:58, 12.14s/it] 27%|██▋ | 2738/10000 [10:22:28<24:28:24, 12.13s/it] 27%|██▋ | 2739/10000 [10:22:42<25:20:19, 12.56s/it] 27%|██▋ | 2740/10000 [10:22:54<25:03:36, 12.43s/it] 27%|██▋ | 2741/10000 [10:23:07<25:08:03, 12.47s/it] 27%|██▋ | 2742/10000 [10:23:19<25:13:10, 12.51s/it] 27%|██▋ | 2743/10000 [10:23:31<24:59:34, 12.40s/it] 27%|██▋ | 2744/10000 [10:23:43<24:37:45, 12.22s/it] 27%|██▋ | 2745/10000 [10:23:55<24:32:36, 12.18s/it] 27%|██▋ | 2746/10000 [10:24:08<24:56:05, 12.37s/it] 27%|██▋ | 2747/10000 [10:24:20<24:39:56, 12.24s/it] 27%|██▋ | 2748/10000 [10:24:32<24:19:13, 12.07s/it] 27%|██▋ | 2749/10000 [10:24:43<24:05:46, 11.96s/it] 28%|██▊ | 2750/10000 [10:24:56<24:36:40, 12.22s/it] 28%|██▊ | 2750/10000 [10:24:56<24:36:40, 12.22s/it] 28%|██▊ | 2751/10000 [10:25:08<24:09:27, 12.00s/it] 28%|██▊ | 2752/10000 [10:25:20<24:26:09, 12.14s/it] 28%|██▊ | 2753/10000 [10:25:33<24:37:37, 12.23s/it] 28%|██▊ | 2754/10000 [10:25:44<24:17:03, 12.07s/it] 28%|██▊ | 2755/10000 [10:25:58<25:07:03, 12.48s/it] 28%|██▊ | 2756/10000 [10:26:10<25:16:04, 12.56s/it] 28%|██▊ | 2757/10000 [10:26:23<24:57:23, 12.40s/it] 28%|██▊ | 2758/10000 [10:26:35<24:56:52, 12.40s/it] 28%|██▊ | 2759/10000 [10:26:48<25:17:08, 12.57s/it] 28%|██▊ | 2760/10000 [10:27:00<24:52:44, 12.37s/it] 28%|██▊ | 2761/10000 [10:27:12<24:58:19, 12.42s/it] 28%|██▊ | 2762/10000 [10:27:26<25:27:36, 12.66s/it] 28%|██▊ | 2763/10000 [10:27:38<25:09:16, 12.51s/it] 28%|██▊ | 2764/10000 [10:27:50<25:13:38, 12.55s/it] 28%|██▊ | 2765/10000 [10:28:03<25:14:55, 12.56s/it] 28%|██▊ | 2766/10000 [10:28:15<25:00:49, 12.45s/it] 28%|██▊ | 2767/10000 [10:28:27<24:38:36, 12.27s/it] 28%|██▊ | 2768/10000 [10:28:39<24:34:28, 12.23s/it] 28%|██▊ | 2769/10000 [10:28:51<24:32:44, 12.22s/it] 28%|██▊ | 2770/10000 [10:29:03<24:13:51, 12.07s/it] 28%|██▊ | 2771/10000 [10:29:18<26:14:46, 13.07s/it] 28%|██▊ | 2772/10000 [10:29:31<25:53:50, 12.90s/it] 28%|██▊ | 2773/10000 [10:29:43<25:41:11, 12.80s/it] 28%|██▊ | 2774/10000 [10:29:55<25:02:42, 12.48s/it] 28%|██▊ | 2775/10000 [10:30:09<25:36:23, 12.76s/it] 28%|██▊ | 2775/10000 [10:30:09<25:36:23, 12.76s/it] 28%|██▊ | 2776/10000 [10:30:22<25:52:09, 12.89s/it] 28%|██▊ | 2777/10000 [10:30:34<25:40:19, 12.80s/it] 28%|██▊ | 2778/10000 [10:30:47<25:15:53, 12.59s/it] 28%|██▊ | 2779/10000 [10:30:58<24:39:39, 12.29s/it] 28%|██▊ | 2780/10000 [10:31:11<25:05:48, 12.51s/it] 28%|██▊ | 2781/10000 [10:31:24<25:10:00, 12.55s/it] 28%|██▊ | 2782/10000 [10:31:35<24:11:10, 12.06s/it] 28%|██▊ | 2783/10000 [10:31:47<24:22:52, 12.16s/it] 28%|██▊ | 2784/10000 [10:31:58<23:39:39, 11.80s/it] 28%|██▊ | 2785/10000 [10:32:13<25:18:38, 12.63s/it] 28%|██▊ | 2786/10000 [10:32:24<24:32:24, 12.25s/it] 28%|██▊ | 2787/10000 [10:32:35<24:01:09, 11.99s/it] 28%|██▊ | 2788/10000 [10:32:47<23:37:55, 11.80s/it] 28%|██▊ | 2789/10000 [10:32:58<23:20:57, 11.66s/it] 28%|██▊ | 2790/10000 [10:33:25<32:15:19, 16.11s/it] 28%|██▊ | 2791/10000 [10:33:36<29:39:33, 14.81s/it] 28%|██▊ | 2792/10000 [10:33:48<27:28:59, 13.73s/it] 28%|██▊ | 2793/10000 [10:33:59<26:18:42, 13.14s/it] 28%|██▊ | 2794/10000 [10:34:11<25:24:12, 12.69s/it] 28%|██▊ | 2795/10000 [10:34:23<25:09:54, 12.57s/it] 28%|██▊ | 2796/10000 [10:34:37<25:39:24, 12.82s/it] 28%|██▊ | 2797/10000 [10:34:48<24:36:12, 12.30s/it] 28%|██▊ | 2798/10000 [10:34:59<23:45:29, 11.88s/it] 28%|██▊ | 2799/10000 [10:35:10<23:21:48, 11.68s/it] 28%|██▊ | 2800/10000 [10:35:23<24:08:20, 12.07s/it] 28%|██▊ | 2800/10000 [10:35:23<24:08:20, 12.07s/it] 28%|██▊ | 2801/10000 [10:35:36<24:39:56, 12.33s/it] 28%|██▊ | 2802/10000 [10:35:49<25:12:03, 12.60s/it] 28%|██▊ | 2803/10000 [10:36:00<24:12:25, 12.11s/it] 28%|██▊ | 2804/10000 [10:36:11<23:34:16, 11.79s/it] 28%|██▊ | 2805/10000 [10:36:23<23:36:29, 11.81s/it] 28%|██▊ | 2806/10000 [10:36:34<23:03:35, 11.54s/it] 28%|██▊ | 2807/10000 [10:36:47<23:56:40, 11.98s/it] 28%|██▊ | 2808/10000 [10:36:58<23:15:02, 11.64s/it] 28%|██▊ | 2809/10000 [10:37:09<22:55:19, 11.48s/it] 28%|██▊ | 2810/10000 [10:37:20<22:44:12, 11.38s/it] 28%|██▊ | 2811/10000 [10:37:33<23:41:40, 11.87s/it] 28%|██▊ | 2812/10000 [10:37:45<23:33:13, 11.80s/it] 28%|██▊ | 2813/10000 [10:37:56<23:27:04, 11.75s/it] 28%|██▊ | 2814/10000 [10:38:09<23:55:19, 11.98s/it] 28%|██▊ | 2815/10000 [10:38:20<23:37:27, 11.84s/it] 28%|██▊ | 2816/10000 [10:38:32<23:24:22, 11.73s/it] 28%|██▊ | 2817/10000 [10:38:43<22:58:25, 11.51s/it] 28%|██▊ | 2818/10000 [10:38:56<24:12:49, 12.14s/it] 28%|██▊ | 2819/10000 [10:39:08<23:41:11, 11.87s/it] 28%|██▊ | 2820/10000 [10:39:20<23:45:13, 11.91s/it] 28%|██▊ | 2821/10000 [10:39:31<23:45:59, 11.92s/it] 28%|██▊ | 2822/10000 [10:39:43<23:44:38, 11.91s/it] 28%|██▊ | 2823/10000 [10:39:55<23:52:46, 11.98s/it] 28%|██▊ | 2824/10000 [10:40:09<24:31:55, 12.31s/it] 28%|██▊ | 2825/10000 [10:40:21<24:39:17, 12.37s/it] 28%|██▊ | 2825/10000 [10:40:21<24:39:17, 12.37s/it] 28%|██▊ | 2826/10000 [10:40:35<25:27:52, 12.78s/it] 28%|██▊ | 2827/10000 [10:40:47<25:00:33, 12.55s/it] 28%|██▊ | 2828/10000 [10:40:59<24:45:46, 12.43s/it] 28%|██▊ | 2829/10000 [10:41:12<24:50:17, 12.47s/it] 28%|██▊ | 2830/10000 [10:41:23<24:26:29, 12.27s/it] 28%|██▊ | 2831/10000 [10:41:36<24:57:57, 12.54s/it] 28%|██▊ | 2832/10000 [10:41:49<24:53:22, 12.50s/it] 28%|██▊ | 2833/10000 [10:42:00<24:20:14, 12.22s/it] 28%|██▊ | 2834/10000 [10:42:13<24:20:03, 12.22s/it] 28%|██▊ | 2835/10000 [10:42:25<24:27:33, 12.29s/it] 28%|██▊ | 2836/10000 [10:42:37<24:18:10, 12.21s/it] 28%|██▊ | 2837/10000 [10:42:51<25:07:43, 12.63s/it] 28%|██▊ | 2838/10000 [10:43:04<25:45:57, 12.95s/it] 28%|██▊ | 2839/10000 [10:43:17<25:12:08, 12.67s/it] 28%|██▊ | 2840/10000 [10:43:29<24:55:47, 12.53s/it] 28%|██▊ | 2841/10000 [10:43:40<24:26:21, 12.29s/it] 28%|██▊ | 2842/10000 [10:43:54<25:04:40, 12.61s/it] 28%|██▊ | 2843/10000 [10:44:05<24:29:29, 12.32s/it] 28%|██▊ | 2844/10000 [10:44:17<24:11:28, 12.17s/it] 28%|██▊ | 2845/10000 [10:44:30<24:15:32, 12.21s/it] 28%|██▊ | 2846/10000 [10:44:43<24:48:03, 12.48s/it] 28%|██▊ | 2847/10000 [10:44:55<24:43:52, 12.45s/it] 28%|██▊ | 2848/10000 [10:45:07<24:23:15, 12.28s/it] 28%|██▊ | 2849/10000 [10:45:19<24:11:07, 12.18s/it] 28%|██▊ | 2850/10000 [10:45:31<24:19:13, 12.25s/it] 28%|██▊ | 2850/10000 [10:45:31<24:19:13, 12.25s/it] 29%|██▊ | 2851/10000 [10:45:44<24:44:08, 12.46s/it] 29%|██▊ | 2852/10000 [10:45:56<24:11:46, 12.19s/it] 29%|██▊ | 2853/10000 [10:46:08<24:17:28, 12.24s/it] 29%|██▊ | 2854/10000 [10:46:21<24:22:49, 12.28s/it] 29%|██▊ | 2855/10000 [10:46:33<24:20:52, 12.27s/it] 29%|██▊ | 2856/10000 [10:46:45<24:14:54, 12.22s/it] 29%|██▊ | 2857/10000 [10:46:57<24:13:48, 12.21s/it] 29%|██▊ | 2858/10000 [10:47:09<24:12:47, 12.20s/it] 29%|██▊ | 2859/10000 [10:47:21<23:44:15, 11.97s/it] 29%|██▊ | 2860/10000 [10:47:32<23:18:18, 11.75s/it] 29%|██▊ | 2861/10000 [10:47:43<23:10:02, 11.68s/it] 29%|██▊ | 2862/10000 [10:47:56<23:54:11, 12.06s/it] 29%|██▊ | 2863/10000 [10:48:08<23:50:10, 12.02s/it] 29%|██▊ | 2864/10000 [10:48:20<23:32:35, 11.88s/it] 29%|██▊ | 2865/10000 [10:48:31<22:58:41, 11.59s/it] 29%|██▊ | 2866/10000 [10:48:43<23:26:51, 11.83s/it] 29%|██▊ | 2867/10000 [10:48:54<23:02:21, 11.63s/it] 29%|██▊ | 2868/10000 [10:49:06<23:05:16, 11.65s/it] 29%|██▊ | 2869/10000 [10:49:19<23:59:50, 12.11s/it] 29%|██▊ | 2870/10000 [10:49:30<23:28:45, 11.85s/it] 29%|██▊ | 2871/10000 [10:49:44<24:12:33, 12.23s/it] 29%|██▊ | 2872/10000 [10:49:55<23:44:06, 11.99s/it] 29%|██▊ | 2873/10000 [10:50:06<23:15:22, 11.75s/it] 29%|██▊ | 2874/10000 [10:50:18<23:15:47, 11.75s/it] 29%|██▉ | 2875/10000 [10:50:30<23:13:32, 11.74s/it] 29%|██▉ | 2875/10000 [10:50:30<23:13:32, 11.74s/it] 29%|██▉ | 2876/10000 [10:50:40<22:40:48, 11.46s/it] 29%|██▉ | 2877/10000 [10:50:51<22:22:42, 11.31s/it] 29%|██▉ | 2878/10000 [10:51:02<22:08:57, 11.20s/it] 29%|██▉ | 2879/10000 [10:51:15<22:55:44, 11.59s/it] 29%|██▉ | 2880/10000 [10:51:26<22:29:08, 11.37s/it] 29%|██▉ | 2881/10000 [10:51:39<23:29:04, 11.88s/it] 29%|██▉ | 2882/10000 [10:51:51<23:45:56, 12.02s/it] 29%|██▉ | 2883/10000 [10:52:02<23:22:03, 11.82s/it] 29%|██▉ | 2884/10000 [10:52:13<22:50:29, 11.56s/it] 29%|██▉ | 2885/10000 [10:52:25<22:48:22, 11.54s/it] 29%|██▉ | 2886/10000 [10:52:37<23:01:35, 11.65s/it] 29%|██▉ | 2887/10000 [10:52:49<23:24:55, 11.85s/it] 29%|██▉ | 2888/10000 [10:53:01<23:13:57, 11.76s/it] 29%|██▉ | 2889/10000 [10:53:12<22:56:19, 11.61s/it] 29%|██▉ | 2890/10000 [10:53:24<22:55:13, 11.61s/it] 29%|██▉ | 2891/10000 [10:53:37<24:16:36, 12.29s/it] 29%|██▉ | 2892/10000 [10:53:50<24:10:45, 12.25s/it] 29%|██▉ | 2893/10000 [10:54:03<24:53:46, 12.61s/it] 29%|██▉ | 2894/10000 [10:54:15<24:45:06, 12.54s/it] 29%|██▉ | 2895/10000 [10:54:26<23:34:13, 11.94s/it] 29%|██▉ | 2896/10000 [10:54:39<24:03:32, 12.19s/it] 29%|██▉ | 2897/10000 [10:54:50<23:21:51, 11.84s/it] 29%|██▉ | 2898/10000 [10:55:01<23:07:42, 11.72s/it] 29%|██▉ | 2899/10000 [10:55:15<24:12:46, 12.28s/it] 29%|██▉ | 2900/10000 [10:55:28<24:46:22, 12.56s/it] 29%|██▉ | 2900/10000 [10:55:28<24:46:22, 12.56s/it] 29%|██▉ | 2901/10000 [10:55:39<24:04:35, 12.21s/it] 29%|██▉ | 2902/10000 [10:55:52<24:13:20, 12.29s/it] 29%|██▉ | 2903/10000 [10:56:03<23:25:55, 11.89s/it] 29%|██▉ | 2904/10000 [10:56:15<23:21:05, 11.85s/it] 29%|██▉ | 2905/10000 [10:56:26<23:06:24, 11.72s/it] 29%|██▉ | 2906/10000 [10:56:40<24:17:28, 12.33s/it] 29%|██▉ | 2907/10000 [10:56:53<24:39:27, 12.51s/it] 29%|██▉ | 2908/10000 [10:57:04<24:07:33, 12.25s/it] 29%|██▉ | 2909/10000 [10:57:16<24:02:17, 12.20s/it] 29%|██▉ | 2910/10000 [10:57:29<24:11:21, 12.28s/it] 29%|██▉ | 2911/10000 [10:57:41<23:58:14, 12.17s/it] 29%|██▉ | 2912/10000 [10:57:53<23:46:51, 12.08s/it] 29%|██▉ | 2913/10000 [10:58:05<24:05:53, 12.24s/it] 29%|██▉ | 2914/10000 [10:58:18<24:07:14, 12.25s/it] 29%|██▉ | 2915/10000 [10:58:29<23:37:11, 12.00s/it] 29%|██▉ | 2916/10000 [10:58:41<23:46:00, 12.08s/it] 29%|██▉ | 2917/10000 [10:58:53<23:52:19, 12.13s/it] 29%|██▉ | 2918/10000 [10:59:06<23:55:50, 12.16s/it] 29%|██▉ | 2919/10000 [10:59:18<24:14:44, 12.33s/it] 29%|██▉ | 2920/10000 [10:59:32<24:49:13, 12.62s/it] 29%|██▉ | 2921/10000 [10:59:44<24:20:29, 12.38s/it] 29%|██▉ | 2922/10000 [10:59:55<23:48:51, 12.11s/it] 29%|██▉ | 2923/10000 [11:00:07<23:57:40, 12.19s/it] 29%|██▉ | 2924/10000 [11:00:20<24:18:10, 12.36s/it] 29%|██▉ | 2925/10000 [11:00:33<24:48:26, 12.62s/it] 29%|██▉ | 2925/10000 [11:00:33<24:48:26, 12.62s/it] 29%|██▉ | 2926/10000 [11:00:45<24:17:02, 12.36s/it] 29%|██▉ | 2927/10000 [11:00:57<24:11:02, 12.31s/it] 29%|██▉ | 2928/10000 [11:01:09<23:43:14, 12.08s/it] 29%|██▉ | 2929/10000 [11:01:21<23:59:01, 12.21s/it] 29%|██▉ | 2930/10000 [11:01:35<25:00:55, 12.74s/it] 29%|██▉ | 2931/10000 [11:01:49<25:23:31, 12.93s/it] 29%|██▉ | 2932/10000 [11:02:00<24:32:36, 12.50s/it] 29%|██▉ | 2933/10000 [11:02:13<24:28:44, 12.47s/it] 29%|██▉ | 2934/10000 [11:02:25<24:10:21, 12.32s/it] 29%|██▉ | 2935/10000 [11:02:37<24:25:09, 12.44s/it] 29%|██▉ | 2936/10000 [11:02:50<24:20:44, 12.41s/it] 29%|██▉ | 2937/10000 [11:03:02<24:11:25, 12.33s/it] 29%|██▉ | 2938/10000 [11:03:13<23:44:45, 12.10s/it] 29%|██▉ | 2939/10000 [11:03:26<24:15:27, 12.37s/it] 29%|██▉ | 2940/10000 [11:03:38<24:02:47, 12.26s/it] 29%|██▉ | 2941/10000 [11:03:50<23:40:59, 12.08s/it] 29%|██▉ | 2942/10000 [11:04:03<24:19:45, 12.41s/it] 29%|██▉ | 2943/10000 [11:04:16<24:28:52, 12.49s/it] 29%|██▉ | 2944/10000 [11:04:28<24:09:47, 12.33s/it] 29%|██▉ | 2945/10000 [11:04:39<23:45:16, 12.12s/it] 29%|██▉ | 2946/10000 [11:04:54<25:17:42, 12.91s/it] 29%|██▉ | 2947/10000 [11:05:06<24:29:01, 12.50s/it] 29%|██▉ | 2948/10000 [11:05:17<23:50:28, 12.17s/it] 29%|██▉ | 2949/10000 [11:05:30<24:24:10, 12.46s/it] 30%|██▉ | 2950/10000 [11:05:42<23:57:30, 12.23s/it] 30%|██▉ | 2950/10000 [11:05:42<23:57:30, 12.23s/it] 30%|██▉ | 2951/10000 [11:05:54<23:32:55, 12.03s/it] 30%|██▉ | 2952/10000 [11:06:06<23:47:12, 12.15s/it] 30%|██▉ | 2953/10000 [11:06:18<23:55:21, 12.22s/it] 30%|██▉ | 2954/10000 [11:06:31<24:17:27, 12.41s/it] 30%|██▉ | 2955/10000 [11:06:43<23:38:09, 12.08s/it] 30%|██▉ | 2956/10000 [11:06:55<24:03:46, 12.30s/it] 30%|██▉ | 2957/10000 [11:07:06<23:11:20, 11.85s/it] 30%|██▉ | 2958/10000 [11:07:18<23:15:20, 11.89s/it] 30%|██▉ | 2959/10000 [11:07:30<23:02:53, 11.78s/it] 30%|██▉ | 2960/10000 [11:07:41<22:36:32, 11.56s/it] 30%|██▉ | 2961/10000 [11:07:52<22:09:29, 11.33s/it] 30%|██▉ | 2962/10000 [11:08:05<23:29:59, 12.02s/it] 30%|██▉ | 2963/10000 [11:08:18<24:13:10, 12.39s/it] 30%|██▉ | 2964/10000 [11:08:29<23:25:04, 11.98s/it] 30%|██▉ | 2965/10000 [11:08:41<23:07:27, 11.83s/it] 30%|██▉ | 2966/10000 [11:08:52<22:38:27, 11.59s/it] 30%|██▉ | 2967/10000 [11:09:03<22:35:24, 11.56s/it] 30%|██▉ | 2968/10000 [11:09:15<22:33:59, 11.55s/it] 30%|██▉ | 2969/10000 [11:09:28<23:09:58, 11.86s/it] 30%|██▉ | 2970/10000 [11:09:39<22:52:45, 11.72s/it] 30%|██▉ | 2971/10000 [11:09:50<22:45:48, 11.66s/it] 30%|██▉ | 2972/10000 [11:10:02<22:25:42, 11.49s/it] 30%|██▉ | 2973/10000 [11:10:13<22:16:17, 11.41s/it] 30%|██▉ | 2974/10000 [11:10:24<22:19:11, 11.44s/it] 30%|██▉ | 2975/10000 [11:10:36<22:31:30, 11.54s/it] 30%|██▉ | 2975/10000 [11:10:36<22:31:30, 11.54s/it] 30%|██▉ | 2976/10000 [11:10:48<22:49:51, 11.70s/it] 30%|██▉ | 2977/10000 [11:10:59<22:31:35, 11.55s/it] 30%|██▉ | 2978/10000 [11:11:10<22:12:28, 11.39s/it] 30%|██▉ | 2979/10000 [11:11:22<22:30:47, 11.54s/it] 30%|██▉ | 2980/10000 [11:11:35<23:19:58, 11.97s/it] 30%|██▉ | 2981/10000 [11:11:49<24:17:24, 12.46s/it] 30%|██▉ | 2982/10000 [11:12:01<24:03:35, 12.34s/it] 30%|██▉ | 2983/10000 [11:12:12<23:30:50, 12.06s/it] 30%|██▉ | 2984/10000 [11:12:24<23:36:03, 12.11s/it] 30%|██▉ | 2985/10000 [11:12:36<23:22:46, 12.00s/it] 30%|██▉ | 2986/10000 [11:12:48<23:22:31, 12.00s/it] 30%|██▉ | 2987/10000 [11:13:00<23:15:33, 11.94s/it] 30%|██▉ | 2988/10000 [11:13:13<23:38:24, 12.14s/it] 30%|██▉ | 2989/10000 [11:13:24<23:22:57, 12.01s/it] 30%|██▉ | 2990/10000 [11:13:36<23:06:49, 11.87s/it] 30%|██▉ | 2991/10000 [11:13:48<23:14:53, 11.94s/it] 30%|██▉ | 2992/10000 [11:14:01<23:59:08, 12.32s/it] 30%|██▉ | 2993/10000 [11:14:14<24:19:37, 12.50s/it] 30%|██▉ | 2994/10000 [11:14:26<23:57:48, 12.31s/it] 30%|██▉ | 2995/10000 [11:14:38<23:35:22, 12.12s/it] 30%|██▉ | 2996/10000 [11:14:50<23:48:44, 12.24s/it] 30%|██▉ | 2997/10000 [11:15:02<23:46:54, 12.23s/it] 30%|██▉ | 2998/10000 [11:15:14<23:43:01, 12.19s/it] 30%|██▉ | 2999/10000 [11:15:28<24:22:57, 12.54s/it] 30%|███ | 3000/10000 [11:15:41<24:43:49, 12.72s/it] 30%|███ | 3000/10000 [11:15:41<24:43:49, 12.72s/it][INFO|trainer.py:2955] 2022-12-17 02:43:21,836 >> ***** Running Evaluation ***** [INFO|trainer.py:2959] 2022-12-17 02:43:21,836 >> Num examples: Unknown [INFO|trainer.py:2960] 2022-12-17 02:43:21,836 >> Batch size = 32 [INFO|trainer_utils.py:689] 2022-12-17 02:43:25,481 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length, speaker_id, duration, gender, age. If input_length, speaker_id, duration, gender, age are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. 30%|███ | 3000/10000 [11:28:28<24:43:49, 12.72s/it][INFO|trainer.py:2700] 2022-12-17 02:56:09,196 >> Saving model checkpoint to ./checkpoint-3000 [INFO|configuration_utils.py:447] 2022-12-17 02:56:09,198 >> Configuration saved in ./checkpoint-3000/config.json [INFO|modeling_utils.py:1680] 2022-12-17 02:56:12,512 >> Model weights saved in ./checkpoint-3000/pytorch_model.bin [INFO|feature_extraction_utils.py:368] 2022-12-17 02:56:12,527 >> Feature extractor saved in ./checkpoint-3000/preprocessor_config.json [INFO|feature_extraction_utils.py:368] 2022-12-17 02:56:24,248 >> Feature extractor saved in ./preprocessor_config.json 30%|███ | 3001/10000 [11:30:47<545:32:13, 280.60s/it] 30%|███ | 3002/10000 [11:31:00<389:22:29, 200.31s/it] 30%|███ | 3003/10000 [11:31:13<280:09:41, 144.14s/it] 30%|███ | 3004/10000 [11:31:25<203:15:14, 104.59s/it] 30%|███ | 3005/10000 [11:31:37<149:08:46, 76.76s/it] 30%|███ | 3006/10000 [11:31:49<111:27:33, 57.37s/it] 30%|███ | 3007/10000 [11:32:01<85:04:24, 43.80s/it] 30%|███ | 3008/10000 [11:32:13<66:31:18, 34.25s/it] 30%|███ | 3009/10000 [11:32:26<54:07:01, 27.87s/it] 30%|███ | 3010/10000 [11:32:39<45:30:55, 23.44s/it] 30%|███ | 3011/10000 [11:32:51<38:47:57, 19.99s/it] 30%|███ | 3012/10000 [11:33:04<34:45:21, 17.91s/it] 30%|███ | 3013/10000 [11:33:17<31:35:35, 16.28s/it] 30%|███ | 3014/10000 [11:33:28<28:52:33, 14.88s/it] 30%|███ | 3015/10000 [11:33:40<27:14:44, 14.04s/it] 30%|███ | 3016/10000 [11:33:52<26:02:21, 13.42s/it] 30%|███ | 3017/10000 [11:34:05<25:50:43, 13.32s/it] 30%|███ | 3018/10000 [11:34:17<25:08:29, 12.96s/it] 30%|███ | 3019/10000 [11:34:29<24:17:18, 12.53s/it] 30%|███ | 3020/10000 [11:34:40<23:38:07, 12.19s/it] 30%|███ | 3021/10000 [11:34:53<23:41:51, 12.22s/it] 30%|███ | 3022/10000 [11:35:05<23:44:53, 12.25s/it] 30%|███ | 3023/10000 [11:35:17<23:42:32, 12.23s/it] 30%|███ | 3024/10000 [11:35:31<24:20:43, 12.56s/it] 30%|███ | 3025/10000 [11:35:43<24:15:45, 12.52s/it] 30%|███ | 3025/10000 [11:35:43<24:15:45, 12.52s/it] 30%|███ | 3026/10000 [11:35:55<23:58:39, 12.38s/it] 30%|███ | 3027/10000 [11:36:06<23:22:54, 12.07s/it] 30%|███ | 3028/10000 [11:36:18<23:19:45, 12.05s/it] 30%|███ | 3029/10000 [11:36:31<23:23:53, 12.08s/it] 30%|███ | 3030/10000 [11:36:44<24:18:55, 12.56s/it] 30%|███ | 3031/10000 [11:36:55<23:34:56, 12.18s/it] 30%|███ | 3032/10000 [11:37:06<22:47:22, 11.77s/it] 30%|███ | 3033/10000 [11:37:18<22:36:17, 11.68s/it] 30%|███ | 3034/10000 [11:37:31<23:22:10, 12.08s/it] 30%|███ | 3035/10000 [11:37:42<22:42:14, 11.74s/it] 30%|███ | 3036/10000 [11:37:54<23:12:33, 12.00s/it] 30%|███ | 3037/10000 [11:38:06<22:56:12, 11.86s/it] 30%|███ | 3038/10000 [11:38:17<22:42:59, 11.75s/it] 30%|███ | 3039/10000 [11:38:29<22:36:26, 11.69s/it] 30%|███ | 3040/10000 [11:38:41<22:38:44, 11.71s/it] 30%|███ | 3041/10000 [11:38:54<23:17:58, 12.05s/it] 30%|███ | 3042/10000 [11:39:05<22:47:49, 11.79s/it] 30%|███ | 3043/10000 [11:39:16<22:42:24, 11.75s/it] 30%|███ | 3044/10000 [11:39:28<22:48:41, 11.81s/it] 30%|███ | 3045/10000 [11:39:39<22:26:59, 11.62s/it] 30%|███ | 3046/10000 [11:39:52<22:54:09, 11.86s/it] 30%|███ | 3047/10000 [11:40:03<22:36:42, 11.71s/it] 30%|███ | 3048/10000 [11:40:14<22:17:08, 11.54s/it] 30%|███ | 3049/10000 [11:40:29<23:48:14, 12.33s/it] 30%|███ | 3050/10000 [11:40:39<22:55:22, 11.87s/it] 30%|███ | 3050/10000 [11:40:39<22:55:22, 11.87s/it] 31%|███ | 3051/10000 [11:40:51<22:30:04, 11.66s/it] 31%|███ | 3052/10000 [11:41:02<22:08:04, 11.47s/it] 31%|███ | 3053/10000 [11:41:13<21:55:42, 11.36s/it] 31%|███ | 3054/10000 [11:41:24<21:44:57, 11.27s/it] 31%|███ | 3055/10000 [11:41:38<23:18:33, 12.08s/it] 31%|███ | 3056/10000 [11:41:49<22:53:57, 11.87s/it] 31%|███ | 3057/10000 [11:42:01<22:53:54, 11.87s/it] 31%|███ | 3058/10000 [11:42:13<22:59:33, 11.92s/it] 31%|███ | 3059/10000 [11:42:25<23:16:57, 12.08s/it] 31%|███ | 3060/10000 [11:42:37<23:01:54, 11.95s/it] 31%|███ | 3061/10000 [11:42:51<24:03:31, 12.48s/it] 31%|███ | 3062/10000 [11:43:03<23:53:56, 12.40s/it] 31%|███ | 3063/10000 [11:43:18<25:35:59, 13.29s/it] 31%|███ | 3064/10000 [11:43:30<24:45:39, 12.85s/it] 31%|███ | 3065/10000 [11:43:42<24:11:59, 12.56s/it] 31%|███ | 3066/10000 [11:43:55<24:17:12, 12.61s/it] 31%|███ | 3067/10000 [11:44:08<24:40:28, 12.81s/it] 31%|███ | 3068/10000 [11:44:20<24:10:14, 12.55s/it] 31%|███ | 3069/10000 [11:44:33<24:21:22, 12.65s/it] 31%|███ | 3070/10000 [11:44:45<24:05:57, 12.52s/it] 31%|███ | 3071/10000 [11:44:57<23:48:38, 12.37s/it] 31%|███ | 3072/10000 [11:45:09<23:31:02, 12.22s/it] 31%|███ | 3073/10000 [11:45:22<24:09:10, 12.55s/it] 31%|███ | 3074/10000 [11:45:34<23:51:53, 12.40s/it] 31%|███ | 3075/10000 [11:45:47<23:43:44, 12.34s/it] 31%|███ | 3075/10000 [11:45:47<23:43:44, 12.34s/it] 31%|███ | 3076/10000 [11:45:59<23:36:28, 12.27s/it] 31%|███ | 3077/10000 [11:46:11<23:39:57, 12.31s/it] 31%|███ | 3078/10000 [11:46:24<24:05:14, 12.53s/it] 31%|███ | 3079/10000 [11:46:37<24:10:57, 12.58s/it] 31%|███ | 3080/10000 [11:46:49<23:48:35, 12.39s/it] 31%|███ | 3081/10000 [11:47:01<23:51:47, 12.42s/it] 31%|███ | 3082/10000 [11:47:13<23:36:22, 12.28s/it] 31%|███ | 3083/10000 [11:47:25<23:24:05, 12.18s/it] 31%|███ | 3084/10000 [11:47:38<23:36:29, 12.29s/it] 31%|███ | 3085/10000 [11:47:50<23:28:22, 12.22s/it] 31%|███ | 3086/10000 [11:48:02<23:32:29, 12.26s/it] 31%|███ | 3087/10000 [11:48:14<23:25:02, 12.19s/it] 31%|███ | 3088/10000 [11:48:26<23:10:37, 12.07s/it] 31%|███ | 3089/10000 [11:48:38<23:20:07, 12.16s/it] 31%|███ | 3090/10000 [11:48:52<24:06:05, 12.56s/it] 31%|███ | 3091/10000 [11:49:03<23:34:44, 12.29s/it] 31%|███ | 3092/10000 [11:49:16<23:26:35, 12.22s/it] 31%|███ | 3093/10000 [11:49:28<23:23:40, 12.19s/it] 31%|███ | 3094/10000 [11:49:39<22:58:01, 11.97s/it] 31%|███ | 3095/10000 [11:49:51<23:11:39, 12.09s/it] 31%|███ | 3096/10000 [11:50:03<23:05:41, 12.04s/it] 31%|███ | 3097/10000 [11:50:16<23:08:58, 12.07s/it] 31%|███ | 3098/10000 [11:50:28<23:10:03, 12.08s/it] 31%|███ | 3099/10000 [11:50:39<22:55:47, 11.96s/it] 31%|███ | 3100/10000 [11:50:52<23:32:14, 12.28s/it] 31%|███ | 3100/10000 [11:50:52<23:32:14, 12.28s/it] 31%|███ | 3101/10000 [11:51:05<23:40:36, 12.35s/it] 31%|███ | 3102/10000 [11:51:17<23:16:50, 12.15s/it] 31%|███ | 3103/10000 [11:51:29<23:27:02, 12.24s/it] 31%|███ | 3104/10000 [11:51:42<23:42:38, 12.38s/it] 31%|███ | 3105/10000 [11:51:54<23:40:57, 12.37s/it] 31%|███ | 3106/10000 [11:52:06<23:26:57, 12.25s/it] 31%|███ | 3107/10000 [11:52:18<23:20:36, 12.19s/it] 31%|███ | 3108/10000 [11:52:30<23:09:08, 12.09s/it] 31%|███ | 3109/10000 [11:52:43<23:35:53, 12.33s/it] 31%|███ | 3110/10000 [11:52:56<23:51:10, 12.46s/it] 31%|███ | 3111/10000 [11:53:09<24:24:44, 12.76s/it] 31%|███ | 3112/10000 [11:53:21<24:13:38, 12.66s/it] 31%|███ | 3113/10000 [11:53:34<24:18:26, 12.71s/it] 31%|███ | 3114/10000 [11:53:47<24:01:04, 12.56s/it] 31%|███ | 3115/10000 [11:53:59<23:44:50, 12.42s/it] 31%|███ | 3116/10000 [11:54:11<23:58:30, 12.54s/it] 31%|███ | 3117/10000 [11:54:23<23:37:57, 12.36s/it] 31%|███ | 3118/10000 [11:54:36<23:39:24, 12.37s/it] 31%|███ | 3119/10000 [11:54:47<23:12:20, 12.14s/it] 31%|███ | 3120/10000 [11:55:00<23:33:21, 12.33s/it] 31%|███ | 3121/10000 [11:55:13<23:38:13, 12.37s/it] 31%|███ | 3122/10000 [11:55:26<24:09:13, 12.64s/it] 31%|███ | 3123/10000 [11:55:37<23:29:36, 12.30s/it] 31%|███ | 3124/10000 [11:55:50<23:42:00, 12.41s/it] 31%|███▏ | 3125/10000 [11:56:03<23:57:51, 12.55s/it] 31%|███▏ | 3125/10000 [11:56:03<23:57:51, 12.55s/it] 31%|███▏ | 3126/10000 [11:56:15<23:42:15, 12.41s/it] 31%|███▏ | 3127/10000 [11:56:27<23:35:44, 12.36s/it] 31%|███▏ | 3128/10000 [11:56:39<23:02:11, 12.07s/it] 31%|███▏ | 3129/10000 [11:56:51<23:16:21, 12.19s/it] 31%|███▏ | 3130/10000 [11:57:03<22:52:20, 11.99s/it] 31%|███▏ | 3131/10000 [11:57:14<22:26:51, 11.76s/it] 31%|███▏ | 3132/10000 [11:57:25<22:01:10, 11.54s/it] 31%|███▏ | 3133/10000 [11:57:36<21:43:57, 11.39s/it] 31%|███▏ | 3134/10000 [11:57:48<22:03:04, 11.56s/it] 31%|███▏ | 3135/10000 [11:57:59<21:53:35, 11.48s/it] 31%|███▏ | 3136/10000 [11:58:12<22:30:10, 11.80s/it] 31%|███▏ | 3137/10000 [11:58:24<23:00:34, 12.07s/it] 31%|███▏ | 3138/10000 [11:58:36<22:51:31, 11.99s/it] 31%|███▏ | 3139/10000 [11:58:49<23:34:01, 12.37s/it] 31%|███▏ | 3140/10000 [11:59:01<23:11:07, 12.17s/it] 31%|███▏ | 3141/10000 [11:59:13<23:05:48, 12.12s/it] 31%|███▏ | 3142/10000 [11:59:27<23:54:22, 12.55s/it] 31%|███▏ | 3143/10000 [11:59:37<22:52:29, 12.01s/it] 31%|███▏ | 3144/10000 [11:59:50<22:58:36, 12.06s/it] 31%|███▏ | 3145/10000 [12:00:01<22:22:12, 11.75s/it] 31%|███▏ | 3146/10000 [12:00:12<22:13:17, 11.67s/it] 31%|███▏ | 3147/10000 [12:00:23<21:49:52, 11.47s/it] 31%|███▏ | 3148/10000 [12:00:38<23:54:19, 12.56s/it] 31%|███▏ | 3149/10000 [12:00:53<24:52:11, 13.07s/it] 32%|███▏ | 3150/10000 [12:01:04<24:00:49, 12.62s/it] 32%|███▏ | 3150/10000 [12:01:04<24:00:49, 12.62s/it] 32%|███▏ | 3151/10000 [12:01:16<23:38:23, 12.43s/it] 32%|███▏ | 3152/10000 [12:01:28<23:37:31, 12.42s/it] 32%|███▏ | 3153/10000 [12:01:41<23:47:31, 12.51s/it] 32%|███▏ | 3154/10000 [12:01:53<23:29:10, 12.35s/it] 32%|███▏ | 3155/10000 [12:02:06<23:50:34, 12.54s/it] 32%|███▏ | 3156/10000 [12:02:18<23:37:33, 12.43s/it] 32%|███▏ | 3157/10000 [12:02:31<23:57:11, 12.60s/it] 32%|███▏ | 3158/10000 [12:02:43<23:16:32, 12.25s/it] 32%|███▏ | 3159/10000 [12:02:57<24:35:27, 12.94s/it] 32%|███▏ | 3160/10000 [12:03:10<24:39:46, 12.98s/it] 32%|███▏ | 3161/10000 [12:03:22<24:05:10, 12.68s/it] 32%|███▏ | 3162/10000 [12:03:36<24:33:06, 12.93s/it] 32%|███▏ | 3163/10000 [12:03:48<24:07:48, 12.71s/it] 32%|███▏ | 3164/10000 [12:04:01<23:58:16, 12.62s/it] 32%|███▏ | 3165/10000 [12:04:12<23:26:43, 12.35s/it] 32%|███▏ | 3166/10000 [12:04:26<24:07:09, 12.71s/it] 32%|███▏ | 3167/10000 [12:04:38<23:54:53, 12.60s/it] 32%|███▏ | 3168/10000 [12:04:50<23:35:53, 12.43s/it] 32%|███▏ | 3169/10000 [12:05:02<23:12:58, 12.24s/it] 32%|███▏ | 3170/10000 [12:05:17<25:03:16, 13.21s/it] 32%|███▏ | 3171/10000 [12:05:30<24:54:23, 13.13s/it] 32%|███▏ | 3172/10000 [12:05:42<24:03:26, 12.68s/it] 32%|███▏ | 3173/10000 [12:05:56<24:40:57, 13.02s/it] 32%|███▏ | 3174/10000 [12:06:08<24:08:39, 12.73s/it] 32%|███▏ | 3175/10000 [12:06:20<23:38:04, 12.47s/it] 32%|███▏ | 3175/10000 [12:06:20<23:38:04, 12.47s/it] 32%|███▏ | 3176/10000 [12:06:32<23:17:31, 12.29s/it] 32%|███▏ | 3177/10000 [12:06:44<23:33:06, 12.43s/it] 32%|███▏ | 3178/10000 [12:06:56<23:23:12, 12.34s/it] 32%|███▏ | 3179/10000 [12:07:09<23:45:58, 12.54s/it] 32%|███▏ | 3180/10000 [12:07:21<23:24:57, 12.36s/it] 32%|███▏ | 3181/10000 [12:07:33<23:01:56, 12.16s/it] 32%|███▏ | 3182/10000 [12:07:46<23:13:40, 12.26s/it] 32%|███▏ | 3183/10000 [12:07:57<22:57:34, 12.12s/it] 32%|███▏ | 3184/10000 [12:08:09<22:52:16, 12.08s/it] 32%|███▏ | 3185/10000 [12:08:22<23:02:39, 12.17s/it] 32%|███▏ | 3186/10000 [12:08:34<23:20:58, 12.34s/it] 32%|███▏ | 3187/10000 [12:08:47<23:14:29, 12.28s/it] 32%|███▏ | 3188/10000 [12:08:59<23:08:22, 12.23s/it] 32%|███▏ | 3189/10000 [12:09:10<22:51:10, 12.08s/it] 32%|███▏ | 3190/10000 [12:09:22<22:42:40, 12.01s/it] 32%|███▏ | 3191/10000 [12:09:35<23:02:04, 12.18s/it] 32%|███▏ | 3192/10000 [12:09:47<22:44:23, 12.02s/it] 32%|███▏ | 3193/10000 [12:09:58<22:34:11, 11.94s/it] 32%|███▏ | 3194/10000 [12:10:10<22:10:49, 11.73s/it] 32%|███▏ | 3195/10000 [12:10:30<26:55:58, 14.25s/it] 32%|███▏ | 3196/10000 [12:10:41<25:12:19, 13.34s/it] 32%|███▏ | 3197/10000 [12:10:53<24:17:57, 12.86s/it] 32%|███▏ | 3198/10000 [12:11:04<23:25:15, 12.40s/it] 32%|███▏ | 3199/10000 [12:11:16<23:14:24, 12.30s/it] 32%|███▏ | 3200/10000 [12:11:27<22:28:36, 11.90s/it] 32%|███▏ | 3200/10000 [12:11:27<22:28:36, 11.90s/it] 32%|███▏ | 3201/10000 [12:11:38<21:57:33, 11.63s/it] 32%|███▏ | 3202/10000 [12:11:49<21:36:21, 11.44s/it] 32%|███▏ | 3203/10000 [12:12:01<21:52:24, 11.59s/it] 32%|███▏ | 3204/10000 [12:12:13<22:00:31, 11.66s/it] 32%|███▏ | 3205/10000 [12:12:25<22:14:46, 11.79s/it] 32%|███▏ | 3206/10000 [12:12:36<21:55:51, 11.62s/it] 32%|███▏ | 3207/10000 [12:12:48<22:14:31, 11.79s/it] 32%|███▏ | 3208/10000 [12:13:00<22:07:24, 11.73s/it] 32%|███▏ | 3209/10000 [12:13:12<22:26:05, 11.89s/it] 32%|███▏ | 3210/10000 [12:13:25<23:06:26, 12.25s/it] 32%|███▏ | 3211/10000 [12:13:36<22:29:14, 11.92s/it] 32%|███▏ | 3212/10000 [12:13:49<22:54:15, 12.15s/it] 32%|███▏ | 3213/10000 [12:14:00<22:11:40, 11.77s/it] 32%|███▏ | 3214/10000 [12:14:13<22:49:09, 12.11s/it] 32%|███▏ | 3215/10000 [12:14:24<22:20:54, 11.86s/it] 32%|███▏ | 3216/10000 [12:14:38<23:29:08, 12.46s/it] 32%|███▏ | 3217/10000 [12:14:49<22:39:44, 12.03s/it] 32%|███▏ | 3218/10000 [12:15:01<22:28:46, 11.93s/it] 32%|███▏ | 3219/10000 [12:15:12<22:22:07, 11.88s/it] 32%|███▏ | 3220/10000 [12:15:24<22:23:28, 11.89s/it] 32%|███▏ | 3221/10000 [12:15:36<22:24:37, 11.90s/it] 32%|███▏ | 3222/10000 [12:15:49<22:47:34, 12.11s/it] 32%|███▏ | 3223/10000 [12:16:00<22:30:54, 11.96s/it] 32%|███▏ | 3224/10000 [12:16:13<22:42:02, 12.06s/it] 32%|███▏ | 3225/10000 [12:16:25<22:39:53, 12.04s/it] 32%|███▏ | 3225/10000 [12:16:25<22:39:53, 12.04s/it] 32%|███▏ | 3226/10000 [12:16:37<22:42:29, 12.07s/it] 32%|███▏ | 3227/10000 [12:16:49<22:31:38, 11.97s/it] 32%|███▏ | 3228/10000 [12:17:01<22:55:58, 12.19s/it] 32%|███▏ | 3229/10000 [12:17:13<22:33:41, 12.00s/it] 32%|███▏ | 3230/10000 [12:17:25<22:35:14, 12.01s/it] 32%|███▏ | 3231/10000 [12:17:36<22:17:06, 11.85s/it] 32%|███▏ | 3232/10000 [12:17:50<23:04:31, 12.27s/it] 32%|███▏ | 3233/10000 [12:18:01<22:43:34, 12.09s/it] 32%|███▏ | 3234/10000 [12:18:14<23:04:49, 12.28s/it] 32%|███▏ | 3235/10000 [12:18:26<23:01:44, 12.25s/it] 32%|███▏ | 3236/10000 [12:18:39<23:06:34, 12.30s/it] 32%|███▏ | 3237/10000 [12:18:51<22:59:43, 12.24s/it] 32%|███▏ | 3238/10000 [12:19:03<22:53:16, 12.19s/it] 32%|███▏ | 3239/10000 [12:19:15<23:08:24, 12.32s/it] 32%|███▏ | 3240/10000 [12:19:27<22:56:27, 12.22s/it] 32%|███▏ | 3241/10000 [12:19:41<23:57:38, 12.76s/it] 32%|███▏ | 3242/10000 [12:19:53<23:25:23, 12.48s/it] 32%|███▏ | 3243/10000 [12:20:05<22:48:31, 12.15s/it] 32%|███▏ | 3244/10000 [12:20:17<22:42:57, 12.10s/it] 32%|███▏ | 3245/10000 [12:20:29<22:42:47, 12.10s/it] 32%|███▏ | 3246/10000 [12:20:42<23:06:09, 12.31s/it] 32%|███▏ | 3247/10000 [12:20:54<23:17:35, 12.42s/it] 32%|███▏ | 3248/10000 [12:21:06<23:11:42, 12.37s/it] 32%|███▏ | 3249/10000 [12:21:19<23:30:38, 12.54s/it] 32%|███▎ | 3250/10000 [12:21:31<23:04:48, 12.31s/it] 32%|███▎ | 3250/10000 [12:21:31<23:04:48, 12.31s/it] 33%|███▎ | 3251/10000 [12:21:44<23:11:07, 12.37s/it] 33%|███▎ | 3252/10000 [12:21:56<23:22:18, 12.47s/it] 33%|███▎ | 3253/10000 [12:22:09<23:31:02, 12.55s/it] 33%|███▎ | 3254/10000 [12:22:23<24:07:02, 12.87s/it] 33%|███▎ | 3255/10000 [12:22:35<23:53:49, 12.75s/it] 33%|███▎ | 3256/10000 [12:22:47<23:29:32, 12.54s/it] 33%|███▎ | 3257/10000 [12:23:00<23:29:12, 12.54s/it] 33%|███▎ | 3258/10000 [12:23:10<22:21:10, 11.94s/it] 33%|███▎ | 3259/10000 [12:23:22<22:08:55, 11.83s/it] 33%|███▎ | 3260/10000 [12:23:34<22:19:30, 11.92s/it] 33%|███▎ | 3261/10000 [12:23:45<21:58:12, 11.74s/it] 33%|███▎ | 3262/10000 [12:23:57<21:50:35, 11.67s/it] 33%|███▎ | 3263/10000 [12:24:09<22:05:23, 11.80s/it] 33%|███▎ | 3264/10000 [12:24:20<21:34:15, 11.53s/it] 33%|███▎ | 3265/10000 [12:24:32<21:54:41, 11.71s/it] 33%|███▎ | 3266/10000 [12:24:45<22:49:48, 12.21s/it] 33%|███▎ | 3267/10000 [12:24:59<23:34:55, 12.61s/it] 33%|███▎ | 3268/10000 [12:25:11<23:03:43, 12.33s/it] 33%|███▎ | 3269/10000 [12:25:22<22:48:28, 12.20s/it] 33%|███▎ | 3270/10000 [12:25:34<22:15:55, 11.91s/it] 33%|███▎ | 3271/10000 [12:25:45<21:54:09, 11.72s/it] 33%|███▎ | 3272/10000 [12:25:58<22:27:27, 12.02s/it] 33%|███▎ | 3273/10000 [12:26:09<22:13:19, 11.89s/it] 33%|███▎ | 3274/10000 [12:26:22<22:49:46, 12.22s/it] 33%|███▎ | 3275/10000 [12:26:34<22:37:19, 12.11s/it] 33%|███▎ | 3275/10000 [12:26:34<22:37:19, 12.11s/it] 33%|███▎ | 3276/10000 [12:26:45<21:57:31, 11.76s/it] 33%|███▎ | 3277/10000 [12:26:56<21:37:58, 11.58s/it] 33%|███▎ | 3278/10000 [12:27:08<21:32:30, 11.54s/it] 33%|███▎ | 3279/10000 [12:27:20<21:41:40, 11.62s/it] 33%|███▎ | 3280/10000 [12:27:31<21:34:28, 11.56s/it] 33%|███▎ | 3281/10000 [12:27:42<21:23:30, 11.46s/it] 33%|███▎ | 3282/10000 [12:27:54<21:49:16, 11.69s/it] 33%|███▎ | 3283/10000 [12:28:06<21:42:54, 11.64s/it] 33%|███▎ | 3284/10000 [12:28:18<21:55:33, 11.75s/it] 33%|███▎ | 3285/10000 [12:28:30<21:55:50, 11.76s/it] 33%|███▎ | 3286/10000 [12:28:42<21:58:44, 11.78s/it] 33%|███▎ | 3287/10000 [12:28:54<22:28:23, 12.05s/it] 33%|███▎ | 3288/10000 [12:29:06<22:12:48, 11.91s/it] 33%|███▎ | 3289/10000 [12:29:19<22:49:28, 12.24s/it] 33%|███▎ | 3290/10000 [12:29:31<22:53:44, 12.28s/it] 33%|███▎ | 3291/10000 [12:29:43<22:38:33, 12.15s/it] 33%|███▎ | 3292/10000 [12:29:55<22:40:24, 12.17s/it] 33%|███▎ | 3293/10000 [12:30:07<22:21:54, 12.00s/it] 33%|███▎ | 3294/10000 [12:30:18<22:08:15, 11.88s/it] 33%|███▎ | 3295/10000 [12:30:31<22:30:48, 12.09s/it] 33%|███▎ | 3296/10000 [12:30:43<22:35:47, 12.13s/it] 33%|███▎ | 3297/10000 [12:30:55<22:21:31, 12.01s/it] 33%|███▎ | 3298/10000 [12:31:07<22:31:23, 12.10s/it] 33%|███▎ | 3299/10000 [12:31:19<22:24:43, 12.04s/it] 33%|███▎ | 3300/10000 [12:31:31<22:18:22, 11.99s/it] 33%|███▎ | 3300/10000 [12:31:31<22:18:22, 11.99s/it] 33%|███▎ | 3301/10000 [12:31:44<23:01:41, 12.38s/it] 33%|███▎ | 3302/10000 [12:31:57<23:05:16, 12.41s/it] 33%|███▎ | 3303/10000 [12:32:09<22:48:32, 12.26s/it] 33%|███▎ | 3304/10000 [12:32:21<22:40:56, 12.19s/it] 33%|███▎ | 3305/10000 [12:32:34<23:03:39, 12.40s/it] 33%|███▎ | 3306/10000 [12:32:46<22:52:36, 12.30s/it] 33%|███▎ | 3307/10000 [12:32:58<22:51:59, 12.30s/it] 33%|███▎ | 3308/10000 [12:33:11<23:01:23, 12.39s/it] 33%|███▎ | 3309/10000 [12:33:23<22:58:27, 12.36s/it] 33%|███▎ | 3310/10000 [12:33:36<23:32:42, 12.67s/it] 33%|███▎ | 3311/10000 [12:33:48<22:58:12, 12.36s/it] 33%|███▎ | 3312/10000 [12:34:01<23:05:48, 12.43s/it] 33%|███▎ | 3313/10000 [12:34:13<23:15:04, 12.52s/it] 33%|███▎ | 3314/10000 [12:34:25<22:52:12, 12.31s/it] 33%|███▎ | 3315/10000 [12:34:37<22:46:02, 12.26s/it] 33%|███▎ | 3316/10000 [12:34:49<22:26:21, 12.09s/it] 33%|███▎ | 3317/10000 [12:35:01<22:14:54, 11.98s/it] 33%|███▎ | 3318/10000 [12:35:13<22:22:30, 12.05s/it] 33%|███▎ | 3319/10000 [12:35:25<22:30:52, 12.13s/it] 33%|███▎ | 3320/10000 [12:35:37<22:33:43, 12.16s/it] 33%|███▎ | 3321/10000 [12:35:50<22:48:34, 12.29s/it] 33%|███▎ | 3322/10000 [12:36:03<22:59:00, 12.39s/it] 33%|███▎ | 3323/10000 [12:36:15<23:08:31, 12.48s/it] 33%|███▎ | 3324/10000 [12:36:27<22:55:05, 12.36s/it] 33%|███▎ | 3325/10000 [12:36:40<22:48:49, 12.30s/it] 33%|███▎ | 3325/10000 [12:36:40<22:48:49, 12.30s/it] 33%|███▎ | 3326/10000 [12:36:52<23:04:56, 12.45s/it] 33%|███▎ | 3327/10000 [12:37:05<23:00:52, 12.42s/it] 33%|███▎ | 3328/10000 [12:37:16<22:25:28, 12.10s/it] 33%|███▎ | 3329/10000 [12:37:27<21:57:15, 11.85s/it] 33%|███▎ | 3330/10000 [12:37:39<21:37:53, 11.68s/it] 33%|███▎ | 3331/10000 [12:37:49<21:09:51, 11.42s/it] 33%|███▎ | 3332/10000 [12:38:01<21:13:01, 11.45s/it] 33%|███▎ | 3333/10000 [12:38:14<22:01:22, 11.89s/it] 33%|███▎ | 3334/10000 [12:38:26<21:54:40, 11.83s/it] 33%|███▎ | 3335/10000 [12:38:37<21:34:38, 11.65s/it] 33%|███▎ | 3336/10000 [12:38:48<21:26:49, 11.59s/it] 33%|███▎ | 3337/10000 [12:39:00<21:23:02, 11.55s/it] 33%|███▎ | 3338/10000 [12:39:11<21:18:42, 11.52s/it] 33%|███▎ | 3339/10000 [12:39:23<21:33:46, 11.65s/it] 33%|███▎ | 3340/10000 [12:39:36<22:11:08, 11.99s/it] 33%|███▎ | 3341/10000 [12:39:47<21:24:37, 11.57s/it] 33%|███▎ | 3342/10000 [12:39:58<21:22:53, 11.56s/it] 33%|███▎ | 3343/10000 [12:40:10<21:45:29, 11.77s/it] 33%|███▎ | 3344/10000 [12:40:22<21:35:29, 11.68s/it] 33%|███▎ | 3345/10000 [12:40:34<22:04:20, 11.94s/it] 33%|███▎ | 3346/10000 [12:40:47<22:19:39, 12.08s/it] 33%|███▎ | 3347/10000 [12:40:58<22:02:26, 11.93s/it] 33%|███▎ | 3348/10000 [12:41:10<22:11:16, 12.01s/it] 33%|███▎ | 3349/10000 [12:41:24<22:44:26, 12.31s/it] 34%|███▎ | 3350/10000 [12:41:35<22:24:28, 12.13s/it] 34%|███▎ | 3350/10000 [12:41:35<22:24:28, 12.13s/it] 34%|███▎ | 3351/10000 [12:41:47<22:19:14, 12.09s/it] 34%|███▎ | 3352/10000 [12:41:59<21:57:59, 11.90s/it] 34%|███▎ | 3353/10000 [12:42:10<21:52:33, 11.85s/it] 34%|███▎ | 3354/10000 [12:42:22<21:37:14, 11.71s/it] 34%|███▎ | 3355/10000 [12:42:34<21:41:37, 11.75s/it] 34%|███▎ | 3356/10000 [12:42:46<22:03:49, 11.96s/it] 34%|███▎ | 3357/10000 [12:42:59<22:26:16, 12.16s/it] 34%|███▎ | 3358/10000 [12:43:11<22:17:57, 12.09s/it] 34%|███▎ | 3359/10000 [12:43:22<22:10:08, 12.02s/it] 34%|███▎ | 3360/10000 [12:43:34<21:52:27, 11.86s/it] 34%|███▎ | 3361/10000 [12:43:46<21:44:40, 11.79s/it] 34%|███▎ | 3362/10000 [12:43:58<22:09:48, 12.02s/it] 34%|███▎ | 3363/10000 [12:44:10<22:14:29, 12.06s/it] 34%|███▎ | 3364/10000 [12:44:23<22:46:06, 12.35s/it] 34%|███▎ | 3365/10000 [12:44:36<22:47:48, 12.37s/it] 34%|███▎ | 3366/10000 [12:44:48<22:40:35, 12.31s/it] 34%|███▎ | 3367/10000 [12:45:00<22:29:40, 12.21s/it] 34%|███▎ | 3368/10000 [12:45:12<22:12:57, 12.06s/it] 34%|███▎ | 3369/10000 [12:45:24<22:12:05, 12.05s/it] 34%|███▎ | 3370/10000 [12:45:36<22:15:05, 12.08s/it] 34%|███▎ | 3371/10000 [12:45:48<22:30:09, 12.22s/it] 34%|███▎ | 3372/10000 [12:46:00<22:22:12, 12.15s/it] 34%|███▎ | 3373/10000 [12:46:12<22:20:40, 12.14s/it] 34%|███▎ | 3374/10000 [12:46:25<22:43:56, 12.35s/it] 34%|███▍ | 3375/10000 [12:46:37<22:24:38, 12.18s/it] 34%|███▍ | 3375/10000 [12:46:37<22:24:38, 12.18s/it] 34%|███▍ | 3376/10000 [12:46:49<22:17:23, 12.11s/it] 34%|███▍ | 3377/10000 [12:47:01<22:20:59, 12.15s/it] 34%|███▍ | 3378/10000 [12:47:13<21:57:46, 11.94s/it] 34%|███▍ | 3379/10000 [12:47:25<22:03:13, 11.99s/it] 34%|███▍ | 3380/10000 [12:47:37<22:04:34, 12.01s/it] 34%|███▍ | 3381/10000 [12:47:49<22:08:37, 12.04s/it] 34%|███▍ | 3382/10000 [12:48:02<22:41:43, 12.35s/it] 34%|███▍ | 3383/10000 [12:48:15<23:15:13, 12.65s/it] 34%|███▍ | 3384/10000 [12:48:27<22:48:25, 12.41s/it] 34%|███▍ | 3385/10000 [12:48:39<22:29:28, 12.24s/it] 34%|███▍ | 3386/10000 [12:48:52<22:38:21, 12.32s/it] 34%|███▍ | 3387/10000 [12:49:03<22:16:25, 12.13s/it] 34%|███▍ | 3388/10000 [12:49:16<22:36:04, 12.31s/it] 34%|███▍ | 3389/10000 [12:49:28<22:42:43, 12.37s/it] 34%|███▍ | 3390/10000 [12:49:40<22:25:05, 12.21s/it] 34%|███▍ | 3391/10000 [12:49:52<22:23:09, 12.19s/it] 34%|███▍ | 3392/10000 [12:50:05<22:34:17, 12.30s/it] 34%|███▍ | 3393/10000 [12:50:18<23:10:35, 12.63s/it] 34%|███▍ | 3394/10000 [12:50:33<24:22:18, 13.28s/it] 34%|███▍ | 3395/10000 [12:50:45<23:27:04, 12.78s/it] 34%|███▍ | 3396/10000 [12:50:58<23:28:27, 12.80s/it] 34%|███▍ | 3397/10000 [12:51:10<23:04:54, 12.58s/it] 34%|███▍ | 3398/10000 [12:51:22<22:46:06, 12.42s/it] 34%|███▍ | 3399/10000 [12:51:33<22:12:26, 12.11s/it] 34%|███▍ | 3400/10000 [12:51:49<23:58:28, 13.08s/it] 34%|███▍ | 3400/10000 [12:51:49<23:58:28, 13.08s/it] 34%|███▍ | 3401/10000 [12:51:59<22:41:09, 12.38s/it] 34%|███▍ | 3402/10000 [12:52:10<22:03:11, 12.03s/it] 34%|███▍ | 3403/10000 [12:52:21<21:25:15, 11.69s/it] 34%|███▍ | 3404/10000 [12:52:33<21:36:56, 11.80s/it] 34%|███▍ | 3405/10000 [12:52:46<22:11:34, 12.11s/it] 34%|███▍ | 3406/10000 [12:52:58<22:04:34, 12.05s/it] 34%|███▍ | 3407/10000 [12:53:12<22:57:34, 12.54s/it] 34%|███▍ | 3408/10000 [12:53:24<22:46:44, 12.44s/it] 34%|███▍ | 3409/10000 [12:53:35<21:57:38, 11.99s/it] 34%|███▍ | 3410/10000 [12:53:46<21:26:49, 11.72s/it] 34%|███▍ | 3411/10000 [12:53:58<21:20:47, 11.66s/it] 34%|███▍ | 3412/10000 [12:54:08<20:51:59, 11.40s/it] 34%|███▍ | 3413/10000 [12:54:22<22:10:39, 12.12s/it] 34%|███▍ | 3414/10000 [12:54:36<22:56:41, 12.54s/it] 34%|███▍ | 3415/10000 [12:54:47<22:24:05, 12.25s/it] 34%|███▍ | 3416/10000 [12:55:00<22:43:29, 12.43s/it] 34%|███▍ | 3417/10000 [12:55:17<25:24:30, 13.89s/it] 34%|███▍ | 3418/10000 [12:55:29<24:10:46, 13.22s/it] 34%|███▍ | 3419/10000 [12:55:41<23:22:13, 12.78s/it] 34%|███▍ | 3420/10000 [12:55:54<23:25:23, 12.82s/it] 34%|███▍ | 3421/10000 [12:56:05<22:18:11, 12.20s/it] 34%|███▍ | 3422/10000 [12:56:18<22:45:51, 12.46s/it] 34%|███▍ | 3423/10000 [12:56:29<22:07:01, 12.11s/it] 34%|███▍ | 3424/10000 [12:56:40<21:33:42, 11.80s/it] 34%|███▍ | 3425/10000 [12:56:52<21:51:54, 11.97s/it] 34%|███▍ | 3425/10000 [12:56:52<21:51:54, 11.97s/it] 34%|███▍ | 3426/10000 [12:57:04<21:37:57, 11.85s/it] 34%|███▍ | 3427/10000 [12:57:15<21:16:17, 11.65s/it] 34%|███▍ | 3428/10000 [12:57:27<21:13:24, 11.63s/it] 34%|███▍ | 3429/10000 [12:57:37<20:46:48, 11.38s/it] 34%|███▍ | 3430/10000 [12:57:50<21:21:32, 11.70s/it] 34%|███▍ | 3431/10000 [12:58:02<21:29:22, 11.78s/it] 34%|███▍ | 3432/10000 [12:58:13<21:17:39, 11.67s/it] 34%|███▍ | 3433/10000 [12:58:25<21:13:57, 11.64s/it] 34%|███▍ | 3434/10000 [12:58:36<20:49:45, 11.42s/it] 34%|███▍ | 3435/10000 [12:58:49<21:45:46, 11.93s/it] 34%|███▍ | 3436/10000 [12:59:00<21:19:40, 11.70s/it] 34%|███▍ | 3437/10000 [12:59:12<21:38:16, 11.87s/it] 34%|███▍ | 3438/10000 [12:59:26<22:42:39, 12.46s/it] 34%|███▍ | 3439/10000 [12:59:39<22:52:33, 12.55s/it] 34%|███▍ | 3440/10000 [12:59:50<21:58:28, 12.06s/it] 34%|███▍ | 3441/10000 [13:00:02<21:46:32, 11.95s/it] 34%|███▍ | 3442/10000 [13:00:13<21:23:34, 11.74s/it] 34%|███▍ | 3443/10000 [13:00:24<21:09:47, 11.62s/it] 34%|███▍ | 3444/10000 [13:00:38<22:30:09, 12.36s/it] 34%|███▍ | 3445/10000 [13:00:50<22:26:25, 12.32s/it] 34%|███▍ | 3446/10000 [13:01:02<22:16:35, 12.24s/it] 34%|███▍ | 3447/10000 [13:01:14<21:56:17, 12.05s/it] 34%|███▍ | 3448/10000 [13:01:27<22:26:43, 12.33s/it] 34%|███▍ | 3449/10000 [13:01:39<22:17:24, 12.25s/it] 34%|███▍ | 3450/10000 [13:01:51<21:59:01, 12.08s/it] 34%|███▍ | 3450/10000 [13:01:51<21:59:01, 12.08s/it] 35%|███▍ | 3451/10000 [13:02:05<22:52:07, 12.57s/it] 35%|███▍ | 3452/10000 [13:02:17<22:52:55, 12.58s/it] 35%|███▍ | 3453/10000 [13:02:29<22:12:50, 12.21s/it] 35%|███▍ | 3454/10000 [13:02:41<22:09:57, 12.19s/it] 35%|███▍ | 3455/10000 [13:02:53<22:08:54, 12.18s/it] 35%|███▍ | 3456/10000 [13:03:05<22:08:39, 12.18s/it] 35%|███▍ | 3457/10000 [13:03:18<22:27:47, 12.36s/it] 35%|███▍ | 3458/10000 [13:03:30<22:06:45, 12.17s/it] 35%|███▍ | 3459/10000 [13:03:43<22:53:16, 12.60s/it] 35%|███▍ | 3460/10000 [13:03:55<22:17:28, 12.27s/it] 35%|███▍ | 3461/10000 [13:04:06<22:02:56, 12.14s/it] 35%|███▍ | 3462/10000 [13:04:19<22:25:53, 12.35s/it] 35%|███▍ | 3463/10000 [13:04:31<22:05:16, 12.16s/it] 35%|███▍ | 3464/10000 [13:04:43<22:11:19, 12.22s/it] 35%|███▍ | 3465/10000 [13:04:56<22:31:12, 12.41s/it] 35%|███▍ | 3466/10000 [13:05:09<22:30:14, 12.40s/it] 35%|███▍ | 3467/10000 [13:05:21<22:39:08, 12.48s/it] 35%|███▍ | 3468/10000 [13:05:34<22:41:42, 12.51s/it] 35%|███▍ | 3469/10000 [13:05:46<22:25:51, 12.36s/it] 35%|███▍ | 3470/10000 [13:05:59<22:51:00, 12.60s/it] 35%|███▍ | 3471/10000 [13:06:12<23:16:38, 12.83s/it] 35%|███▍ | 3472/10000 [13:06:24<22:28:41, 12.40s/it] 35%|███▍ | 3473/10000 [13:06:38<23:35:28, 13.01s/it] 35%|███▍ | 3474/10000 [13:06:52<24:00:54, 13.25s/it] 35%|███▍ | 3475/10000 [13:07:05<23:54:10, 13.19s/it] 35%|███▍ | 3475/10000 [13:07:05<23:54:10, 13.19s/it] 35%|███▍ | 3476/10000 [13:07:18<23:44:04, 13.10s/it] 35%|███▍ | 3477/10000 [13:07:30<23:02:21, 12.72s/it] 35%|███▍ | 3478/10000 [13:07:42<22:38:35, 12.50s/it] 35%|███▍ | 3479/10000 [13:07:55<23:11:16, 12.80s/it] 35%|███▍ | 3480/10000 [13:08:07<22:36:31, 12.48s/it] 35%|███▍ | 3481/10000 [13:08:20<22:39:26, 12.51s/it] 35%|███▍ | 3482/10000 [13:08:31<22:10:09, 12.24s/it] 35%|███▍ | 3483/10000 [13:08:44<22:30:55, 12.44s/it] 35%|███▍ | 3484/10000 [13:08:56<21:57:00, 12.13s/it] 35%|███▍ | 3485/10000 [13:09:07<21:47:36, 12.04s/it] 35%|███▍ | 3486/10000 [13:09:21<22:39:10, 12.52s/it] 35%|███▍ | 3487/10000 [13:09:34<22:45:40, 12.58s/it] 35%|███▍ | 3488/10000 [13:09:47<23:00:13, 12.72s/it] 35%|███▍ | 3489/10000 [13:09:58<22:25:52, 12.40s/it] 35%|███▍ | 3490/10000 [13:10:11<22:35:17, 12.49s/it] 35%|███▍ | 3491/10000 [13:10:23<22:30:15, 12.45s/it] 35%|███▍ | 3492/10000 [13:10:35<22:15:45, 12.31s/it] 35%|███▍ | 3493/10000 [13:10:50<23:14:46, 12.86s/it] 35%|███▍ | 3494/10000 [13:11:01<22:42:35, 12.57s/it] 35%|███▍ | 3495/10000 [13:11:14<22:36:34, 12.51s/it] 35%|███▍ | 3496/10000 [13:11:26<22:15:31, 12.32s/it] 35%|███▍ | 3497/10000 [13:11:37<21:48:10, 12.07s/it] 35%|███▍ | 3498/10000 [13:11:48<21:15:53, 11.77s/it] 35%|███▍ | 3499/10000 [13:12:01<21:48:33, 12.08s/it] 35%|███▌ | 3500/10000 [13:12:12<21:21:49, 11.83s/it] 35%|███▌ | 3500/10000 [13:12:12<21:21:49, 11.83s/it][INFO|trainer.py:2955] 2022-12-17 04:39:53,205 >> ***** Running Evaluation ***** [INFO|trainer.py:2959] 2022-12-17 04:39:53,205 >> Num examples: Unknown [INFO|trainer.py:2960] 2022-12-17 04:39:53,205 >> Batch size = 32 [INFO|trainer_utils.py:689] 2022-12-17 04:39:56,139 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length, speaker_id, duration, gender, age. If input_length, speaker_id, duration, gender, age are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. 35%|███▌ | 3500/10000 [13:25:17<21:21:49, 11.83s/it] 35%|███▌ | 3501/10000 [13:25:31<447:21:10, 247.80s/it] 35%|███▌ | 3502/10000 [13:25:43<319:47:20, 177.17s/it] 35%|███▌ | 3503/10000 [13:25:55<230:21:43, 127.64s/it] 35%|███▌ | 3504/10000 [13:26:08<168:19:07, 93.28s/it] 35%|███▌ | 3505/10000 [13:26:20<123:53:06, 68.67s/it] 35%|███▌ | 3506/10000 [13:26:32<93:30:49, 51.84s/it] 35%|███▌ | 3507/10000 [13:26:44<71:56:42, 39.89s/it] 35%|███▌ | 3508/10000 [13:26:57<57:25:49, 31.85s/it] 35%|███▌ | 3509/10000 [13:27:09<46:48:54, 25.96s/it] 35%|███▌ | 3510/10000 [13:27:23<40:02:30, 22.21s/it] 35%|███▌ | 3511/10000 [13:27:35<34:19:20, 19.04s/it] 35%|███▌ | 3512/10000 [13:27:47<30:52:11, 17.13s/it] 35%|███▌ | 3513/10000 [13:27:59<27:49:38, 15.44s/it] 35%|███▌ | 3514/10000 [13:28:12<26:52:14, 14.91s/it] 35%|███▌ | 3515/10000 [13:28:24<25:04:06, 13.92s/it] 35%|███▌ | 3516/10000 [13:28:37<24:49:25, 13.78s/it] 35%|███▌ | 3517/10000 [13:28:50<24:06:31, 13.39s/it] 35%|███▌ | 3518/10000 [13:29:02<23:22:41, 12.98s/it] 35%|███▌ | 3519/10000 [13:29:14<22:44:43, 12.63s/it] 35%|███▌ | 3520/10000 [13:29:26<22:26:07, 12.46s/it] 35%|███▌ | 3521/10000 [13:29:38<22:20:22, 12.41s/it] 35%|███▌ | 3522/10000 [13:29:50<22:08:21, 12.30s/it] 35%|███▌ | 3523/10000 [13:30:03<22:26:31, 12.47s/it] 35%|███▌ | 3524/10000 [13:30:15<21:53:36, 12.17s/it] 35%|███▌ | 3525/10000 [13:30:27<21:55:49, 12.19s/it] 35%|███▌ | 3525/10000 [13:30:27<21:55:49, 12.19s/it] 35%|███▌ | 3526/10000 [13:30:39<22:11:27, 12.34s/it] 35%|███▌ | 3527/10000 [13:30:52<22:27:16, 12.49s/it] 35%|███▌ | 3528/10000 [13:31:04<22:00:00, 12.24s/it] 35%|███▌ | 3529/10000 [13:31:17<22:38:16, 12.59s/it] 35%|███▌ | 3530/10000 [13:31:29<22:03:28, 12.27s/it] 35%|███▌ | 3531/10000 [13:31:41<21:52:05, 12.17s/it] 35%|███▌ | 3532/10000 [13:31:52<21:24:12, 11.91s/it] 35%|███▌ | 3533/10000 [13:32:05<21:47:24, 12.13s/it] 35%|███▌ | 3534/10000 [13:32:16<21:32:07, 11.99s/it] 35%|███▌ | 3535/10000 [13:32:27<21:01:29, 11.71s/it] 35%|███▌ | 3536/10000 [13:32:40<21:35:03, 12.02s/it] 35%|███▌ | 3537/10000 [13:32:52<21:12:55, 11.82s/it] 35%|███▌ | 3538/10000 [13:33:02<20:40:48, 11.52s/it] 35%|███▌ | 3539/10000 [13:33:13<20:06:27, 11.20s/it] 35%|███▌ | 3540/10000 [13:33:25<20:25:56, 11.39s/it] 35%|███▌ | 3541/10000 [13:33:36<20:13:20, 11.27s/it] 35%|███▌ | 3542/10000 [13:33:47<20:22:27, 11.36s/it] 35%|███▌ | 3543/10000 [13:34:00<21:01:01, 11.72s/it] 35%|███▌ | 3544/10000 [13:34:12<21:07:50, 11.78s/it] 35%|███▌ | 3545/10000 [13:34:23<20:55:53, 11.67s/it] 35%|███▌ | 3546/10000 [13:34:34<20:44:09, 11.57s/it] 35%|███▌ | 3547/10000 [13:34:48<21:57:18, 12.25s/it] 35%|███▌ | 3548/10000 [13:35:00<21:29:39, 11.99s/it] 35%|███▌ | 3549/10000 [13:35:11<21:15:23, 11.86s/it] 36%|███▌ | 3550/10000 [13:35:24<21:43:52, 12.13s/it] 36%|███▌ | 3550/10000 [13:35:24<21:43:52, 12.13s/it] 36%|███▌ | 3551/10000 [13:35:36<21:34:53, 12.05s/it] 36%|███▌ | 3552/10000 [13:35:47<21:19:51, 11.91s/it] 36%|███▌ | 3553/10000 [13:35:59<21:07:40, 11.80s/it] 36%|███▌ | 3554/10000 [13:36:11<21:17:21, 11.89s/it] 36%|███▌ | 3555/10000 [13:36:22<20:39:24, 11.54s/it] 36%|███▌ | 3556/10000 [13:36:34<20:48:07, 11.62s/it] 36%|███▌ | 3557/10000 [13:36:47<21:31:41, 12.03s/it] 36%|███▌ | 3558/10000 [13:36:58<21:13:44, 11.86s/it] 36%|███▌ | 3559/10000 [13:37:11<21:56:48, 12.27s/it] 36%|███▌ | 3560/10000 [13:37:23<21:38:52, 12.10s/it] 36%|███▌ | 3561/10000 [13:37:35<21:32:49, 12.05s/it] 36%|███▌ | 3562/10000 [13:37:48<22:11:25, 12.41s/it] 36%|███▌ | 3563/10000 [13:38:00<21:56:29, 12.27s/it] 36%|███▌ | 3564/10000 [13:38:13<22:21:29, 12.51s/it] 36%|███▌ | 3565/10000 [13:38:26<22:34:32, 12.63s/it] 36%|███▌ | 3566/10000 [13:38:38<21:56:15, 12.27s/it] 36%|███▌ | 3567/10000 [13:38:50<21:54:28, 12.26s/it] 36%|███▌ | 3568/10000 [13:39:02<21:47:44, 12.20s/it] 36%|███▌ | 3569/10000 [13:39:14<21:52:47, 12.25s/it] 36%|███▌ | 3570/10000 [13:39:26<21:50:24, 12.23s/it] 36%|███▌ | 3571/10000 [13:39:40<22:26:16, 12.56s/it] 36%|███▌ | 3572/10000 [13:39:51<21:57:39, 12.30s/it] 36%|███▌ | 3573/10000 [13:40:04<21:52:58, 12.26s/it] 36%|███▌ | 3574/10000 [13:40:16<22:04:42, 12.37s/it] 36%|███▌ | 3575/10000 [13:40:28<21:58:09, 12.31s/it] 36%|███▌ | 3575/10000 [13:40:28<21:58:09, 12.31s/it] 36%|███▌ | 3576/10000 [13:40:41<21:54:30, 12.28s/it] 36%|███▌ | 3577/10000 [13:40:53<21:57:41, 12.31s/it] 36%|███▌ | 3578/10000 [13:41:06<22:18:38, 12.51s/it] 36%|███▌ | 3579/10000 [13:41:18<21:51:53, 12.26s/it] 36%|███▌ | 3580/10000 [13:41:30<21:51:18, 12.26s/it] 36%|███▌ | 3581/10000 [13:41:42<21:55:14, 12.29s/it] 36%|███▌ | 3582/10000 [13:41:55<21:59:26, 12.34s/it] 36%|███▌ | 3583/10000 [13:42:07<22:13:03, 12.46s/it] 36%|███▌ | 3584/10000 [13:42:19<21:56:52, 12.31s/it] 36%|███▌ | 3585/10000 [13:42:31<21:50:11, 12.25s/it] 36%|███▌ | 3586/10000 [13:42:44<21:57:55, 12.33s/it] 36%|███▌ | 3587/10000 [13:42:57<22:25:18, 12.59s/it] 36%|███▌ | 3588/10000 [13:43:10<22:17:08, 12.51s/it] 36%|███▌ | 3589/10000 [13:43:23<22:52:46, 12.85s/it] 36%|███▌ | 3590/10000 [13:43:35<22:21:43, 12.56s/it] 36%|███▌ | 3591/10000 [13:43:48<22:22:38, 12.57s/it] 36%|███▌ | 3592/10000 [13:44:01<22:38:22, 12.72s/it] 36%|███▌ | 3593/10000 [13:44:12<22:02:27, 12.38s/it] 36%|███▌ | 3594/10000 [13:44:24<21:55:50, 12.32s/it] 36%|███▌ | 3595/10000 [13:44:38<22:45:33, 12.79s/it] 36%|███▌ | 3596/10000 [13:44:50<22:23:59, 12.59s/it] 36%|███▌ | 3597/10000 [13:45:03<22:19:17, 12.55s/it] 36%|███▌ | 3598/10000 [13:45:15<21:48:08, 12.26s/it] 36%|███▌ | 3599/10000 [13:45:27<21:56:08, 12.34s/it] 36%|███▌ | 3600/10000 [13:45:38<21:12:27, 11.93s/it] 36%|███▌ | 3600/10000 [13:45:38<21:12:27, 11.93s/it] 36%|███▌ | 3601/10000 [13:45:49<20:50:08, 11.72s/it] 36%|███▌ | 3602/10000 [13:46:01<20:41:22, 11.64s/it] 36%|███▌ | 3603/10000 [13:46:13<21:05:33, 11.87s/it] 36%|███▌ | 3604/10000 [13:46:25<21:04:54, 11.87s/it] 36%|███▌ | 3605/10000 [13:46:36<20:28:57, 11.53s/it] 36%|███▌ | 3606/10000 [13:46:48<20:44:04, 11.67s/it] 36%|███▌ | 3607/10000 [13:46:58<20:11:35, 11.37s/it] 36%|███▌ | 3608/10000 [13:47:11<20:58:56, 11.82s/it] 36%|███▌ | 3609/10000 [13:47:23<20:57:46, 11.81s/it] 36%|███▌ | 3610/10000 [13:47:34<20:36:49, 11.61s/it] 36%|███▌ | 3611/10000 [13:47:48<21:46:33, 12.27s/it] 36%|███▌ | 3612/10000 [13:47:59<21:08:54, 11.92s/it] 36%|███▌ | 3613/10000 [13:48:11<21:03:12, 11.87s/it] 36%|███▌ | 3614/10000 [13:48:24<21:36:51, 12.18s/it] 36%|███▌ | 3615/10000 [13:48:35<21:03:51, 11.88s/it] 36%|███▌ | 3616/10000 [13:48:47<21:04:24, 11.88s/it] 36%|███▌ | 3617/10000 [13:48:58<20:30:40, 11.57s/it] 36%|███▌ | 3618/10000 [13:49:10<20:56:23, 11.81s/it] 36%|███▌ | 3619/10000 [13:49:21<20:37:39, 11.64s/it] 36%|███▌ | 3620/10000 [13:49:34<21:19:09, 12.03s/it] 36%|███▌ | 3621/10000 [13:49:46<20:56:33, 11.82s/it] 36%|███▌ | 3622/10000 [13:49:57<20:53:08, 11.79s/it] 36%|███▌ | 3623/10000 [13:50:09<20:52:57, 11.79s/it] 36%|███▌ | 3624/10000 [13:50:21<21:10:21, 11.95s/it] 36%|███▋ | 3625/10000 [13:50:33<20:52:45, 11.79s/it] 36%|███▋ | 3625/10000 [13:50:33<20:52:45, 11.79s/it] 36%|███▋ | 3626/10000 [13:50:45<21:07:47, 11.93s/it] 36%|███▋ | 3627/10000 [13:50:57<21:18:55, 12.04s/it] 36%|███▋ | 3628/10000 [13:51:11<22:07:45, 12.50s/it] 36%|███▋ | 3629/10000 [13:51:22<21:15:17, 12.01s/it] 36%|███▋ | 3630/10000 [13:51:34<21:21:00, 12.07s/it] 36%|███▋ | 3631/10000 [13:51:48<22:19:19, 12.62s/it] 36%|███▋ | 3632/10000 [13:52:00<21:48:05, 12.33s/it] 36%|███▋ | 3633/10000 [13:52:12<21:57:10, 12.41s/it] 36%|███▋ | 3634/10000 [13:52:23<21:07:51, 11.95s/it] 36%|███▋ | 3635/10000 [13:52:35<21:22:20, 12.09s/it] 36%|███▋ | 3636/10000 [13:52:48<21:32:26, 12.19s/it] 36%|███▋ | 3637/10000 [13:53:00<21:30:55, 12.17s/it] 36%|███▋ | 3638/10000 [13:53:12<21:31:11, 12.18s/it] 36%|███▋ | 3639/10000 [13:53:25<21:38:23, 12.25s/it] 36%|███▋ | 3640/10000 [13:53:37<21:28:15, 12.15s/it] 36%|███▋ | 3641/10000 [13:53:49<21:44:49, 12.31s/it] 36%|███▋ | 3642/10000 [13:54:01<21:35:13, 12.22s/it] 36%|███▋ | 3643/10000 [13:54:14<21:42:00, 12.29s/it] 36%|███▋ | 3644/10000 [13:54:26<21:58:23, 12.45s/it] 36%|███▋ | 3645/10000 [13:54:39<22:01:23, 12.48s/it] 36%|███▋ | 3646/10000 [13:54:51<21:53:14, 12.40s/it] 36%|███▋ | 3647/10000 [13:55:03<21:43:36, 12.31s/it] 36%|███▋ | 3648/10000 [13:55:16<21:45:51, 12.33s/it] 36%|███▋ | 3649/10000 [13:55:28<21:36:39, 12.25s/it] 36%|███▋ | 3650/10000 [13:55:40<21:36:02, 12.25s/it] 36%|███▋ | 3650/10000 [13:55:40<21:36:02, 12.25s/it] 37%|███▋ | 3651/10000 [13:55:52<21:18:22, 12.08s/it] 37%|███▋ | 3652/10000 [13:56:05<21:50:46, 12.39s/it] 37%|███▋ | 3653/10000 [13:56:16<21:16:20, 12.07s/it] 37%|███▋ | 3654/10000 [13:56:30<21:59:45, 12.48s/it] 37%|███▋ | 3655/10000 [13:56:42<22:01:32, 12.50s/it] 37%|███▋ | 3656/10000 [13:56:54<21:34:19, 12.24s/it] 37%|███▋ | 3657/10000 [13:57:06<21:45:43, 12.35s/it] 37%|███▋ | 3658/10000 [13:57:19<21:49:00, 12.38s/it] 37%|███▋ | 3659/10000 [13:57:31<21:45:17, 12.35s/it] 37%|███▋ | 3660/10000 [13:57:45<22:24:04, 12.72s/it] 37%|███▋ | 3661/10000 [13:57:58<22:36:30, 12.84s/it] 37%|███▋ | 3662/10000 [13:58:10<22:16:28, 12.65s/it] 37%|███▋ | 3663/10000 [13:58:24<22:52:03, 12.99s/it] 37%|███▋ | 3664/10000 [13:58:36<22:23:07, 12.72s/it] 37%|███▋ | 3665/10000 [13:58:48<22:10:06, 12.60s/it] 37%|███▋ | 3666/10000 [13:59:00<21:53:02, 12.44s/it] 37%|███▋ | 3667/10000 [13:59:13<21:50:03, 12.41s/it] 37%|███▋ | 3668/10000 [13:59:25<21:48:42, 12.40s/it] 37%|███▋ | 3669/10000 [13:59:37<21:48:57, 12.41s/it] 37%|███▋ | 3670/10000 [13:59:50<21:38:31, 12.31s/it] 37%|███▋ | 3671/10000 [14:00:02<21:44:10, 12.36s/it] 37%|███▋ | 3672/10000 [14:00:14<21:42:08, 12.35s/it] 37%|███▋ | 3673/10000 [14:00:27<21:45:48, 12.38s/it] 37%|███▋ | 3674/10000 [14:00:40<22:03:44, 12.56s/it] 37%|███▋ | 3675/10000 [14:00:52<21:48:46, 12.42s/it] 37%|███▋ | 3675/10000 [14:00:52<21:48:46, 12.42s/it] 37%|███▋ | 3676/10000 [14:01:04<21:33:32, 12.27s/it] 37%|███▋ | 3677/10000 [14:01:17<22:09:20, 12.61s/it] 37%|███▋ | 3678/10000 [14:01:29<21:42:08, 12.36s/it] 37%|███▋ | 3679/10000 [14:01:41<21:24:11, 12.19s/it] 37%|███▋ | 3680/10000 [14:01:54<22:00:00, 12.53s/it] 37%|███▋ | 3681/10000 [14:02:06<21:46:04, 12.40s/it] 37%|███▋ | 3682/10000 [14:02:19<21:59:11, 12.53s/it] 37%|███▋ | 3683/10000 [14:02:31<21:56:15, 12.50s/it] 37%|███▋ | 3684/10000 [14:02:44<21:42:44, 12.38s/it] 37%|███▋ | 3685/10000 [14:02:55<21:00:58, 11.98s/it] 37%|███▋ | 3686/10000 [14:03:07<21:21:12, 12.17s/it] 37%|███▋ | 3687/10000 [14:03:20<21:33:15, 12.29s/it] 37%|███▋ | 3688/10000 [14:03:32<21:21:05, 12.18s/it] 37%|███▋ | 3689/10000 [14:03:43<20:54:38, 11.93s/it] 37%|███▋ | 3690/10000 [14:03:56<21:13:17, 12.11s/it] 37%|███▋ | 3691/10000 [14:04:08<21:30:02, 12.27s/it] 37%|███▋ | 3692/10000 [14:04:20<21:19:32, 12.17s/it] 37%|███▋ | 3693/10000 [14:04:34<22:06:28, 12.62s/it] 37%|███▋ | 3694/10000 [14:04:47<22:12:24, 12.68s/it] 37%|███▋ | 3695/10000 [14:05:00<22:42:23, 12.96s/it] 37%|███▋ | 3696/10000 [14:05:13<22:27:45, 12.83s/it] 37%|███▋ | 3697/10000 [14:05:26<22:30:06, 12.85s/it] 37%|███▋ | 3698/10000 [14:05:37<21:47:11, 12.45s/it] 37%|███▋ | 3699/10000 [14:05:50<21:45:12, 12.43s/it] 37%|███▋ | 3700/10000 [14:06:01<21:08:43, 12.08s/it] 37%|███▋ | 3700/10000 [14:06:01<21:08:43, 12.08s/it] 37%|███▋ | 3701/10000 [14:06:14<21:49:06, 12.47s/it] 37%|███▋ | 3702/10000 [14:06:27<21:51:49, 12.50s/it] 37%|███▋ | 3703/10000 [14:06:39<21:43:59, 12.42s/it] 37%|███▋ | 3704/10000 [14:06:51<21:29:17, 12.29s/it] 37%|███▋ | 3705/10000 [14:07:03<21:15:22, 12.16s/it] 37%|███▋ | 3706/10000 [14:07:15<21:09:24, 12.10s/it] 37%|███▋ | 3707/10000 [14:07:28<21:51:19, 12.50s/it] 37%|███▋ | 3708/10000 [14:07:40<21:32:12, 12.32s/it] 37%|███▋ | 3709/10000 [14:07:51<20:54:48, 11.97s/it] 37%|███▋ | 3710/10000 [14:08:04<21:06:42, 12.08s/it] 37%|███▋ | 3711/10000 [14:08:15<20:41:19, 11.84s/it] 37%|███▋ | 3712/10000 [14:08:26<20:31:00, 11.75s/it] 37%|███▋ | 3713/10000 [14:08:38<20:23:58, 11.68s/it] 37%|███▋ | 3714/10000 [14:08:50<20:21:22, 11.66s/it] 37%|███▋ | 3715/10000 [14:09:01<20:24:23, 11.69s/it] 37%|███▋ | 3716/10000 [14:09:12<20:06:28, 11.52s/it] 37%|███▋ | 3717/10000 [14:09:24<20:20:15, 11.65s/it] 37%|███▋ | 3718/10000 [14:09:36<20:31:00, 11.76s/it] 37%|███▋ | 3719/10000 [14:09:48<20:33:31, 11.78s/it] 37%|███▋ | 3720/10000 [14:10:00<20:47:21, 11.92s/it] 37%|███▋ | 3721/10000 [14:10:13<21:03:51, 12.08s/it] 37%|███▋ | 3722/10000 [14:10:24<20:28:54, 11.74s/it] 37%|███▋ | 3723/10000 [14:10:36<20:38:41, 11.84s/it] 37%|███▋ | 3724/10000 [14:10:49<21:12:42, 12.17s/it] 37%|███▋ | 3725/10000 [14:11:00<20:28:21, 11.75s/it] 37%|███▋ | 3725/10000 [14:11:00<20:28:21, 11.75s/it] 37%|███▋ | 3726/10000 [14:11:12<20:46:56, 11.92s/it] 37%|███▋ | 3727/10000 [14:11:23<20:17:48, 11.65s/it] 37%|███▋ | 3728/10000 [14:11:35<20:20:27, 11.68s/it] 37%|███▋ | 3729/10000 [14:11:46<20:20:47, 11.68s/it] 37%|███▋ | 3730/10000 [14:11:58<20:13:28, 11.61s/it] 37%|███▋ | 3731/10000 [14:12:09<20:00:37, 11.49s/it] 37%|███▋ | 3732/10000 [14:12:22<20:36:02, 11.83s/it] 37%|███▋ | 3733/10000 [14:12:34<20:48:54, 11.96s/it] 37%|███▋ | 3734/10000 [14:12:46<20:36:23, 11.84s/it] 37%|███▋ | 3735/10000 [14:12:57<20:29:11, 11.77s/it] 37%|███▋ | 3736/10000 [14:13:10<20:47:14, 11.95s/it] 37%|███▋ | 3737/10000 [14:13:22<21:06:36, 12.13s/it] 37%|███▋ | 3738/10000 [14:13:34<20:59:28, 12.07s/it] 37%|███▋ | 3739/10000 [14:13:45<20:31:29, 11.80s/it] 37%|███▋ | 3740/10000 [14:13:56<20:05:22, 11.55s/it] 37%|███▋ | 3741/10000 [14:14:08<20:04:44, 11.55s/it] 37%|███▋ | 3742/10000 [14:14:19<19:48:27, 11.39s/it] 37%|███▋ | 3743/10000 [14:14:31<20:26:58, 11.77s/it] 37%|███▋ | 3744/10000 [14:14:42<20:00:59, 11.52s/it] 37%|███▋ | 3745/10000 [14:14:55<20:41:46, 11.91s/it] 37%|███▋ | 3746/10000 [14:15:06<20:18:48, 11.69s/it] 37%|███▋ | 3747/10000 [14:15:18<20:30:53, 11.81s/it] 37%|███▋ | 3748/10000 [14:15:30<20:13:35, 11.65s/it] 37%|███▋ | 3749/10000 [14:15:40<19:40:01, 11.33s/it] 38%|███▊ | 3750/10000 [14:15:51<19:36:33, 11.30s/it] 38%|███▊ | 3750/10000 [14:15:51<19:36:33, 11.30s/it] 38%|███▊ | 3751/10000 [14:16:06<21:18:02, 12.27s/it] 38%|███▊ | 3752/10000 [14:16:17<20:43:13, 11.94s/it] 38%|███▊ | 3753/10000 [14:16:28<20:09:33, 11.62s/it] 38%|███▊ | 3754/10000 [14:16:42<21:14:14, 12.24s/it] 38%|███▊ | 3755/10000 [14:16:54<21:13:40, 12.24s/it] 38%|███▊ | 3756/10000 [14:17:06<21:05:27, 12.16s/it] 38%|███▊ | 3757/10000 [14:17:17<20:39:43, 11.91s/it] 38%|███▊ | 3758/10000 [14:17:29<20:45:21, 11.97s/it] 38%|███▊ | 3759/10000 [14:17:40<20:10:30, 11.64s/it] 38%|███▊ | 3760/10000 [14:17:52<20:06:10, 11.60s/it] 38%|███▊ | 3761/10000 [14:18:05<20:45:49, 11.98s/it] 38%|███▊ | 3762/10000 [14:18:16<20:15:36, 11.69s/it] 38%|███▊ | 3763/10000 [14:18:27<20:10:29, 11.65s/it] 38%|███▊ | 3764/10000 [14:18:40<20:37:17, 11.90s/it] 38%|███▊ | 3765/10000 [14:18:51<20:25:26, 11.79s/it] 38%|███▊ | 3766/10000 [14:19:02<19:55:56, 11.51s/it] 38%|███▊ | 3767/10000 [14:19:15<20:39:49, 11.93s/it] 38%|███▊ | 3768/10000 [14:19:26<20:25:19, 11.80s/it] 38%|███▊ | 3769/10000 [14:19:38<20:27:01, 11.82s/it] 38%|███▊ | 3770/10000 [14:19:51<20:41:32, 11.96s/it] 38%|███▊ | 3771/10000 [14:20:02<20:29:57, 11.85s/it] 38%|███▊ | 3772/10000 [14:20:16<21:25:04, 12.38s/it] 38%|███▊ | 3773/10000 [14:20:28<21:06:12, 12.20s/it] 38%|███▊ | 3774/10000 [14:20:41<21:51:49, 12.64s/it] 38%|███▊ | 3775/10000 [14:20:54<21:48:44, 12.61s/it] 38%|███▊ | 3775/10000 [14:20:54<21:48:44, 12.61s/it] 38%|███▊ | 3776/10000 [14:21:06<21:25:00, 12.39s/it] 38%|███▊ | 3777/10000 [14:21:19<21:46:15, 12.59s/it] 38%|███▊ | 3778/10000 [14:21:31<21:44:27, 12.58s/it] 38%|███▊ | 3779/10000 [14:21:43<21:24:32, 12.39s/it] 38%|███▊ | 3780/10000 [14:21:55<20:58:41, 12.14s/it] 38%|███▊ | 3781/10000 [14:22:09<21:53:59, 12.68s/it] 38%|███▊ | 3782/10000 [14:22:22<21:56:35, 12.70s/it] 38%|███▊ | 3783/10000 [14:22:35<22:12:03, 12.86s/it] 38%|███▊ | 3784/10000 [14:22:47<21:52:49, 12.67s/it] 38%|███▊ | 3785/10000 [14:22:59<21:42:33, 12.57s/it] 38%|███▊ | 3786/10000 [14:23:11<21:25:51, 12.42s/it] 38%|███▊ | 3787/10000 [14:23:24<21:35:25, 12.51s/it] 38%|███▊ | 3788/10000 [14:23:37<21:51:38, 12.67s/it] 38%|███▊ | 3789/10000 [14:23:50<21:55:18, 12.71s/it] 38%|███▊ | 3790/10000 [14:24:03<21:52:00, 12.68s/it] 38%|███▊ | 3791/10000 [14:24:14<21:15:32, 12.33s/it] 38%|███▊ | 3792/10000 [14:24:26<21:18:41, 12.36s/it] 38%|███▊ | 3793/10000 [14:24:38<21:00:21, 12.18s/it] 38%|███▊ | 3794/10000 [14:24:52<21:57:30, 12.74s/it] 38%|███▊ | 3795/10000 [14:25:05<21:56:55, 12.73s/it] 38%|███▊ | 3796/10000 [14:25:17<21:42:19, 12.60s/it] 38%|███▊ | 3797/10000 [14:25:29<21:25:59, 12.44s/it] 38%|███▊ | 3798/10000 [14:25:42<21:23:36, 12.42s/it] 38%|███▊ | 3799/10000 [14:25:54<21:31:48, 12.50s/it] 38%|███▊ | 3800/10000 [14:26:07<21:43:08, 12.61s/it] 38%|███▊ | 3800/10000 [14:26:07<21:43:08, 12.61s/it] 38%|███▊ | 3801/10000 [14:26:21<22:07:53, 12.85s/it] 38%|███▊ | 3802/10000 [14:26:34<22:09:29, 12.87s/it] 38%|███▊ | 3803/10000 [14:26:45<21:33:32, 12.52s/it] 38%|███▊ | 3804/10000 [14:26:58<21:35:58, 12.55s/it] 38%|███▊ | 3805/10000 [14:27:10<21:30:16, 12.50s/it] 38%|███▊ | 3806/10000 [14:27:22<21:19:14, 12.39s/it] 38%|███▊ | 3807/10000 [14:27:34<21:04:23, 12.25s/it] 38%|███▊ | 3808/10000 [14:27:47<21:07:02, 12.28s/it] 38%|███▊ | 3809/10000 [14:27:58<20:49:20, 12.11s/it] 38%|███▊ | 3810/10000 [14:28:12<21:23:37, 12.44s/it] 38%|███▊ | 3811/10000 [14:28:24<21:24:11, 12.45s/it] 38%|███▊ | 3812/10000 [14:28:36<21:18:15, 12.39s/it] 38%|███▊ | 3813/10000 [14:28:49<21:20:08, 12.41s/it] 38%|███▊ | 3814/10000 [14:29:02<21:29:11, 12.50s/it] 38%|███▊ | 3815/10000 [14:29:13<20:46:00, 12.09s/it] 38%|███▊ | 3816/10000 [14:29:24<20:20:54, 11.85s/it] 38%|███▊ | 3817/10000 [14:29:35<19:49:18, 11.54s/it] 38%|███▊ | 3818/10000 [14:29:47<19:56:50, 11.62s/it] 38%|███▊ | 3819/10000 [14:29:58<19:36:40, 11.42s/it] 38%|███▊ | 3820/10000 [14:30:13<21:26:28, 12.49s/it] 38%|███▊ | 3821/10000 [14:30:25<21:16:33, 12.40s/it] 38%|███▊ | 3822/10000 [14:30:36<20:44:10, 12.08s/it] 38%|███▊ | 3823/10000 [14:30:47<20:13:37, 11.79s/it] 38%|███▊ | 3824/10000 [14:31:00<20:41:00, 12.06s/it] 38%|███▊ | 3825/10000 [14:31:11<20:04:34, 11.70s/it] 38%|███▊ | 3825/10000 [14:31:11<20:04:34, 11.70s/it] 38%|███▊ | 3826/10000 [14:31:23<20:14:13, 11.80s/it] 38%|███▊ | 3827/10000 [14:31:34<19:58:19, 11.65s/it] 38%|███▊ | 3828/10000 [14:31:47<20:31:00, 11.97s/it] 38%|███▊ | 3829/10000 [14:31:58<20:17:01, 11.83s/it] 38%|███▊ | 3830/10000 [14:32:11<20:41:42, 12.07s/it] 38%|███▊ | 3831/10000 [14:32:24<21:18:22, 12.43s/it] 38%|███▊ | 3832/10000 [14:32:38<21:51:17, 12.76s/it] 38%|███▊ | 3833/10000 [14:32:48<20:50:01, 12.16s/it] 38%|███▊ | 3834/10000 [14:33:02<21:35:46, 12.61s/it] 38%|███▊ | 3835/10000 [14:33:15<21:51:36, 12.77s/it] 38%|███▊ | 3836/10000 [14:33:27<21:17:33, 12.44s/it] 38%|███▊ | 3837/10000 [14:33:38<20:32:32, 12.00s/it] 38%|███▊ | 3838/10000 [14:33:51<21:07:22, 12.34s/it] 38%|███▊ | 3839/10000 [14:34:02<20:27:16, 11.95s/it] 38%|███▊ | 3840/10000 [14:34:13<20:03:34, 11.72s/it] 38%|███▊ | 3841/10000 [14:34:26<20:20:37, 11.89s/it] 38%|███▊ | 3842/10000 [14:34:38<20:36:59, 12.05s/it] 38%|███▊ | 3843/10000 [14:34:50<20:30:36, 11.99s/it] 38%|███▊ | 3844/10000 [14:35:01<19:57:14, 11.67s/it] 38%|███▊ | 3845/10000 [14:35:13<20:06:45, 11.76s/it] 38%|███▊ | 3846/10000 [14:35:23<19:27:34, 11.38s/it] 38%|███▊ | 3847/10000 [14:35:35<19:29:27, 11.40s/it] 38%|███▊ | 3848/10000 [14:35:47<19:59:45, 11.70s/it] 38%|███▊ | 3849/10000 [14:35:59<19:51:13, 11.62s/it] 38%|███▊ | 3850/10000 [14:36:10<19:44:20, 11.55s/it] 38%|███▊ | 3850/10000 [14:36:10<19:44:20, 11.55s/it] 39%|███▊ | 3851/10000 [14:36:23<20:24:59, 11.95s/it] 39%|███▊ | 3852/10000 [14:36:38<21:50:38, 12.79s/it] 39%|███▊ | 3853/10000 [14:36:49<21:17:35, 12.47s/it] 39%|███▊ | 3854/10000 [14:37:00<20:29:51, 12.01s/it] 39%|███▊ | 3855/10000 [14:37:13<20:39:11, 12.10s/it] 39%|███▊ | 3856/10000 [14:37:24<20:13:59, 11.86s/it] 39%|███▊ | 3857/10000 [14:37:36<20:13:42, 11.85s/it] 39%|███▊ | 3858/10000 [14:37:47<19:53:16, 11.66s/it] 39%|███▊ | 3859/10000 [14:37:59<20:00:03, 11.73s/it] 39%|███▊ | 3860/10000 [14:38:10<19:43:03, 11.56s/it] 39%|███▊ | 3861/10000 [14:38:22<19:54:40, 11.68s/it] 39%|███▊ | 3862/10000 [14:38:35<20:51:25, 12.23s/it] 39%|███▊ | 3863/10000 [14:38:49<21:36:23, 12.67s/it] 39%|███▊ | 3864/10000 [14:39:02<21:44:26, 12.76s/it] 39%|███▊ | 3865/10000 [14:39:15<21:36:39, 12.68s/it] 39%|███▊ | 3866/10000 [14:39:27<21:31:00, 12.63s/it] 39%|███▊ | 3867/10000 [14:39:39<21:25:28, 12.58s/it] 39%|███▊ | 3868/10000 [14:39:52<21:24:33, 12.57s/it] 39%|███▊ | 3869/10000 [14:40:05<21:39:28, 12.72s/it] 39%|███▊ | 3870/10000 [14:40:19<22:02:15, 12.94s/it] 39%|███▊ | 3871/10000 [14:40:30<21:21:03, 12.54s/it] 39%|███▊ | 3872/10000 [14:40:43<21:18:52, 12.52s/it] 39%|███▊ | 3873/10000 [14:40:54<20:52:52, 12.27s/it] 39%|███▊ | 3874/10000 [14:41:07<21:19:24, 12.53s/it] 39%|███▉ | 3875/10000 [14:41:19<20:59:52, 12.34s/it] 39%|███▉ | 3875/10000 [14:41:19<20:59:52, 12.34s/it] 39%|███▉ | 3876/10000 [14:41:32<21:01:02, 12.36s/it] 39%|███▉ | 3877/10000 [14:41:44<20:55:22, 12.30s/it] 39%|███▉ | 3878/10000 [14:41:56<20:48:17, 12.23s/it] 39%|███▉ | 3879/10000 [14:42:08<20:39:04, 12.15s/it] 39%|███▉ | 3880/10000 [14:42:20<20:29:14, 12.05s/it] 39%|███▉ | 3881/10000 [14:42:32<20:33:01, 12.09s/it] 39%|███▉ | 3882/10000 [14:42:46<21:43:55, 12.79s/it] 39%|███▉ | 3883/10000 [14:42:58<21:21:29, 12.57s/it] 39%|███▉ | 3884/10000 [14:43:11<21:05:47, 12.42s/it] 39%|███▉ | 3885/10000 [14:43:23<20:55:11, 12.32s/it] 39%|███▉ | 3886/10000 [14:43:35<20:47:14, 12.24s/it] 39%|███▉ | 3887/10000 [14:43:47<21:01:15, 12.38s/it] 39%|███▉ | 3888/10000 [14:43:59<20:41:02, 12.18s/it] 39%|███▉ | 3889/10000 [14:44:14<22:02:46, 12.99s/it] 39%|███▉ | 3890/10000 [14:44:26<21:36:37, 12.73s/it] 39%|███▉ | 3891/10000 [14:44:39<21:31:49, 12.69s/it] 39%|███▉ | 3892/10000 [14:44:50<20:58:35, 12.36s/it] 39%|███▉ | 3893/10000 [14:45:03<20:59:22, 12.37s/it] 39%|███▉ | 3894/10000 [14:45:15<20:46:12, 12.25s/it] 39%|███▉ | 3895/10000 [14:45:29<21:49:50, 12.87s/it] 39%|███▉ | 3896/10000 [14:45:42<21:44:56, 12.83s/it] 39%|███▉ | 3897/10000 [14:45:54<21:34:54, 12.73s/it] 39%|███▉ | 3898/10000 [14:46:07<21:23:27, 12.62s/it] 39%|███▉ | 3899/10000 [14:46:18<20:59:21, 12.39s/it] 39%|███▉ | 3900/10000 [14:46:30<20:38:59, 12.19s/it] 39%|███▉ | 3900/10000 [14:46:30<20:38:59, 12.19s/it] 39%|███▉ | 3901/10000 [14:46:43<21:06:09, 12.46s/it] 39%|███▉ | 3902/10000 [14:46:57<21:42:51, 12.82s/it] 39%|███▉ | 3903/10000 [14:47:08<20:46:40, 12.27s/it] 39%|███▉ | 3904/10000 [14:47:20<20:43:21, 12.24s/it] 39%|███▉ | 3905/10000 [14:47:31<20:18:07, 11.99s/it] 39%|███▉ | 3906/10000 [14:47:45<21:12:02, 12.52s/it] 39%|███▉ | 3907/10000 [14:47:56<20:21:54, 12.03s/it] 39%|███▉ | 3908/10000 [14:48:09<20:38:14, 12.20s/it] 39%|███▉ | 3909/10000 [14:48:21<20:31:41, 12.13s/it] 39%|███▉ | 3910/10000 [14:48:33<20:34:24, 12.16s/it] 39%|███▉ | 3911/10000 [14:48:44<20:06:07, 11.89s/it] 39%|███▉ | 3912/10000 [14:48:56<20:06:01, 11.89s/it] 39%|███▉ | 3913/10000 [14:49:08<20:21:31, 12.04s/it] 39%|███▉ | 3914/10000 [14:49:21<20:25:53, 12.09s/it] 39%|███▉ | 3915/10000 [14:49:32<20:16:07, 11.99s/it] 39%|███▉ | 3916/10000 [14:49:46<21:09:38, 12.52s/it] 39%|███▉ | 3917/10000 [14:49:57<20:23:49, 12.07s/it] 39%|███▉ | 3918/10000 [14:50:08<19:48:53, 11.73s/it] 39%|███▉ | 3919/10000 [14:50:20<19:52:39, 11.77s/it] 39%|███▉ | 3920/10000 [14:50:33<20:27:05, 12.11s/it] 39%|███▉ | 3921/10000 [14:50:44<19:50:01, 11.75s/it] 39%|███▉ | 3922/10000 [14:50:57<20:28:51, 12.13s/it] 39%|███▉ | 3923/10000 [14:51:08<19:59:01, 11.84s/it] 39%|███▉ | 3924/10000 [14:51:19<19:47:59, 11.73s/it] 39%|███▉ | 3925/10000 [14:51:31<19:46:51, 11.72s/it] 39%|███▉ | 3925/10000 [14:51:31<19:46:51, 11.72s/it] 39%|███▉ | 3926/10000 [14:51:43<20:05:19, 11.91s/it] 39%|███▉ | 3927/10000 [14:51:56<20:27:04, 12.12s/it] 39%|███▉ | 3928/10000 [14:52:07<19:59:58, 11.86s/it] 39%|███▉ | 3929/10000 [14:52:20<20:22:58, 12.09s/it] 39%|███▉ | 3930/10000 [14:52:32<20:13:41, 12.00s/it] 39%|███▉ | 3931/10000 [14:52:42<19:30:12, 11.57s/it] 39%|███▉ | 3932/10000 [14:52:54<19:33:17, 11.60s/it] 39%|███▉ | 3933/10000 [14:53:06<19:56:50, 11.84s/it] 39%|███▉ | 3934/10000 [14:53:18<19:47:03, 11.74s/it] 39%|███▉ | 3935/10000 [14:53:29<19:19:40, 11.47s/it] 39%|███▉ | 3936/10000 [14:53:42<20:20:39, 12.08s/it] 39%|███▉ | 3937/10000 [14:53:54<20:20:38, 12.08s/it] 39%|███▉ | 3938/10000 [14:54:06<20:04:54, 11.93s/it] 39%|███▉ | 3939/10000 [14:54:18<20:13:50, 12.02s/it] 39%|███▉ | 3940/10000 [14:54:30<20:21:57, 12.10s/it] 39%|███▉ | 3941/10000 [14:54:42<20:16:34, 12.05s/it] 39%|███▉ | 3942/10000 [14:54:55<20:35:33, 12.24s/it] 39%|███▉ | 3943/10000 [14:55:07<20:24:48, 12.13s/it] 39%|███▉ | 3944/10000 [14:55:19<20:17:37, 12.06s/it] 39%|███▉ | 3945/10000 [14:55:31<20:20:15, 12.09s/it] 39%|███▉ | 3946/10000 [14:55:45<21:15:12, 12.64s/it] 39%|███▉ | 3947/10000 [14:55:57<20:48:40, 12.38s/it] 39%|███▉ | 3948/10000 [14:56:09<20:34:14, 12.24s/it] 39%|███▉ | 3949/10000 [14:56:21<20:44:11, 12.34s/it] 40%|███▉ | 3950/10000 [14:56:34<20:48:46, 12.38s/it] 40%|███▉ | 3950/10000 [14:56:34<20:48:46, 12.38s/it] 40%|███▉ | 3951/10000 [14:56:46<20:53:11, 12.43s/it] 40%|███▉ | 3952/10000 [14:56:59<20:58:02, 12.48s/it] 40%|███▉ | 3953/10000 [14:57:10<20:28:05, 12.19s/it] 40%|███▉ | 3954/10000 [14:57:23<20:34:59, 12.26s/it] 40%|███▉ | 3955/10000 [14:57:35<20:26:39, 12.18s/it] 40%|███▉ | 3956/10000 [14:57:48<20:57:45, 12.49s/it] 40%|███▉ | 3957/10000 [14:58:00<20:36:43, 12.28s/it] 40%|███▉ | 3958/10000 [14:58:12<20:50:23, 12.42s/it] 40%|███▉ | 3959/10000 [14:58:24<20:38:41, 12.30s/it] 40%|███▉ | 3960/10000 [14:58:36<20:29:01, 12.21s/it] 40%|███▉ | 3961/10000 [14:58:48<20:23:27, 12.16s/it] 40%|███▉ | 3962/10000 [14:59:01<20:27:08, 12.19s/it] 40%|███▉ | 3963/10000 [14:59:14<20:53:24, 12.46s/it] 40%|███▉ | 3964/10000 [14:59:26<20:50:27, 12.43s/it] 40%|███▉ | 3965/10000 [14:59:39<21:07:32, 12.60s/it] 40%|███▉ | 3966/10000 [14:59:52<21:14:33, 12.67s/it] 40%|███▉ | 3967/10000 [15:00:04<21:00:08, 12.53s/it] 40%|███▉ | 3968/10000 [15:00:16<20:44:52, 12.38s/it] 40%|███▉ | 3969/10000 [15:00:28<20:31:47, 12.25s/it] 40%|███▉ | 3970/10000 [15:00:41<20:52:37, 12.46s/it] 40%|███▉ | 3971/10000 [15:00:55<21:38:37, 12.92s/it] 40%|███▉ | 3972/10000 [15:01:07<21:02:50, 12.57s/it] 40%|███▉ | 3973/10000 [15:01:20<21:06:53, 12.61s/it] 40%|███▉ | 3974/10000 [15:01:32<20:51:04, 12.46s/it] 40%|███▉ | 3975/10000 [15:01:44<20:47:11, 12.42s/it] 40%|███▉ | 3975/10000 [15:01:44<20:47:11, 12.42s/it] 40%|███▉ | 3976/10000 [15:01:55<20:12:36, 12.08s/it] 40%|███▉ | 3977/10000 [15:02:10<21:37:34, 12.93s/it] 40%|███▉ | 3978/10000 [15:02:22<21:16:04, 12.71s/it] 40%|███▉ | 3979/10000 [15:02:34<20:49:01, 12.45s/it] 40%|███▉ | 3980/10000 [15:02:46<20:27:37, 12.24s/it] 40%|███▉ | 3981/10000 [15:02:58<20:18:01, 12.14s/it] 40%|███▉ | 3982/10000 [15:03:10<20:01:48, 11.98s/it] 40%|███▉ | 3983/10000 [15:03:23<20:40:50, 12.37s/it] 40%|███▉ | 3984/10000 [15:03:36<20:55:15, 12.52s/it] 40%|███▉ | 3985/10000 [15:03:49<21:15:39, 12.72s/it] 40%|███▉ | 3986/10000 [15:04:01<20:58:30, 12.56s/it] 40%|███▉ | 3987/10000 [15:04:13<20:49:59, 12.47s/it] 40%|███▉ | 3988/10000 [15:04:25<20:29:15, 12.27s/it] 40%|███▉ | 3989/10000 [15:04:39<21:14:08, 12.72s/it] 40%|███▉ | 3990/10000 [15:04:50<20:34:14, 12.32s/it] 40%|███▉ | 3991/10000 [15:05:05<21:42:49, 13.01s/it] 40%|███▉ | 3992/10000 [15:05:17<21:10:42, 12.69s/it] 40%|███▉ | 3993/10000 [15:05:30<21:33:59, 12.92s/it] 40%|███▉ | 3994/10000 [15:05:43<21:14:59, 12.74s/it] 40%|███▉ | 3995/10000 [15:05:57<21:52:36, 13.12s/it] 40%|███▉ | 3996/10000 [15:06:08<21:09:33, 12.69s/it] 40%|███▉ | 3997/10000 [15:06:20<20:52:05, 12.51s/it] 40%|███▉ | 3998/10000 [15:06:33<20:44:29, 12.44s/it] 40%|███▉ | 3999/10000 [15:06:44<20:25:24, 12.25s/it] 40%|████ | 4000/10000 [15:06:56<19:59:15, 11.99s/it] 40%|████ | 4000/10000 [15:06:56<19:59:15, 11.99s/it][INFO|trainer.py:2955] 2022-12-17 06:34:36,708 >> ***** Running Evaluation ***** [INFO|trainer.py:2959] 2022-12-17 06:34:36,708 >> Num examples: Unknown [INFO|trainer.py:2960] 2022-12-17 06:34:36,708 >> Batch size = 32 [INFO|trainer_utils.py:689] 2022-12-17 06:34:39,330 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length, speaker_id, duration, gender, age. If input_length, speaker_id, duration, gender, age are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. 40%|████ | 4000/10000 [15:21:41<19:59:15, 11.99s/it][INFO|trainer.py:2700] 2022-12-17 06:49:21,663 >> Saving model checkpoint to ./checkpoint-4000 [INFO|configuration_utils.py:447] 2022-12-17 06:49:21,664 >> Configuration saved in ./checkpoint-4000/config.json [INFO|modeling_utils.py:1680] 2022-12-17 06:49:25,087 >> Model weights saved in ./checkpoint-4000/pytorch_model.bin [INFO|feature_extraction_utils.py:368] 2022-12-17 06:49:25,105 >> Feature extractor saved in ./checkpoint-4000/preprocessor_config.json [INFO|feature_extraction_utils.py:368] 2022-12-17 06:49:36,904 >> Feature extractor saved in ./preprocessor_config.json 40%|████ | 4001/10000 [15:24:00<526:09:09, 315.74s/it] 40%|████ | 4002/10000 [15:24:15<375:29:59, 225.38s/it] 40%|████ | 4003/10000 [15:24:28<269:07:31, 161.56s/it] 40%|████ | 4004/10000 [15:24:39<194:19:55, 116.68s/it] 40%|████ | 4005/10000 [15:24:55<143:37:32, 86.25s/it] 40%|████ | 4006/10000 [15:25:07<106:27:42, 63.94s/it] 40%|████ | 4007/10000 [15:25:20<81:00:53, 48.67s/it] 40%|████ | 4008/10000 [15:25:33<63:22:17, 38.07s/it] 40%|████ | 4009/10000 [15:25:46<51:03:52, 30.68s/it] 40%|████ | 4010/10000 [15:25:59<41:49:47, 25.14s/it] 40%|████ | 4011/10000 [15:26:11<35:13:38, 21.18s/it] 40%|████ | 4012/10000 [15:26:23<31:04:17, 18.68s/it] 40%|████ | 4013/10000 [15:26:36<27:56:16, 16.80s/it] 40%|████ | 4014/10000 [15:26:49<25:59:27, 15.63s/it] 40%|████ | 4015/10000 [15:27:00<23:52:15, 14.36s/it] 40%|████ | 4016/10000 [15:27:13<22:58:18, 13.82s/it] 40%|████ | 4017/10000 [15:27:25<22:04:58, 13.29s/it] 40%|████ | 4018/10000 [15:27:36<21:17:22, 12.81s/it] 40%|████ | 4019/10000 [15:27:48<20:53:04, 12.57s/it] 40%|████ | 4020/10000 [15:28:00<20:30:57, 12.35s/it] 40%|████ | 4021/10000 [15:28:12<20:08:32, 12.13s/it] 40%|████ | 4022/10000 [15:28:24<20:13:24, 12.18s/it] 40%|████ | 4023/10000 [15:28:38<21:01:14, 12.66s/it] 40%|████ | 4024/10000 [15:28:49<20:10:38, 12.16s/it] 40%|████ | 4025/10000 [15:29:01<20:08:59, 12.14s/it] 40%|████ | 4025/10000 [15:29:01<20:08:59, 12.14s/it] 40%|████ | 4026/10000 [15:29:15<21:08:15, 12.74s/it] 40%|████ | 4027/10000 [15:29:26<20:23:11, 12.29s/it] 40%|████ | 4028/10000 [15:29:38<19:56:12, 12.02s/it] 40%|████ | 4029/10000 [15:29:49<19:44:51, 11.91s/it] 40%|████ | 4030/10000 [15:30:03<20:22:30, 12.29s/it] 40%|████ | 4031/10000 [15:30:14<19:47:44, 11.94s/it] 40%|████ | 4032/10000 [15:30:27<20:18:58, 12.26s/it] 40%|████ | 4033/10000 [15:30:38<19:41:36, 11.88s/it] 40%|████ | 4034/10000 [15:30:50<19:58:54, 12.06s/it] 40%|████ | 4035/10000 [15:31:01<19:32:30, 11.79s/it] 40%|████ | 4036/10000 [15:31:12<19:03:34, 11.50s/it] 40%|████ | 4037/10000 [15:31:23<18:43:01, 11.30s/it] 40%|████ | 4038/10000 [15:31:36<19:20:05, 11.67s/it] 40%|████ | 4039/10000 [15:31:50<20:54:30, 12.63s/it] 40%|████ | 4040/10000 [15:32:02<20:19:56, 12.28s/it] 40%|████ | 4041/10000 [15:32:13<19:51:55, 12.00s/it] 40%|████ | 4042/10000 [15:32:24<19:22:45, 11.71s/it] 40%|████ | 4043/10000 [15:32:36<19:18:00, 11.66s/it] 40%|████ | 4044/10000 [15:32:48<19:29:59, 11.79s/it] 40%|████ | 4045/10000 [15:32:59<19:22:04, 11.71s/it] 40%|████ | 4046/10000 [15:33:12<19:34:58, 11.84s/it] 40%|████ | 4047/10000 [15:33:24<19:46:33, 11.96s/it] 40%|████ | 4048/10000 [15:33:35<19:25:27, 11.75s/it] 40%|████ | 4049/10000 [15:33:47<19:17:27, 11.67s/it] 40%|████ | 4050/10000 [15:33:59<19:36:15, 11.86s/it] 40%|████ | 4050/10000 [15:33:59<19:36:15, 11.86s/it] 41%|████ | 4051/10000 [15:34:10<19:11:28, 11.61s/it] 41%|████ | 4052/10000 [15:34:22<19:33:52, 11.84s/it] 41%|████ | 4053/10000 [15:34:35<19:48:51, 11.99s/it] 41%|████ | 4054/10000 [15:34:46<19:40:23, 11.91s/it] 41%|████ | 4055/10000 [15:35:00<20:39:10, 12.51s/it] 41%|████ | 4056/10000 [15:35:14<21:19:10, 12.91s/it] 41%|████ | 4057/10000 [15:35:26<20:55:44, 12.68s/it] 41%|████ | 4058/10000 [15:35:39<21:02:47, 12.75s/it] 41%|████ | 4059/10000 [15:35:52<21:13:57, 12.87s/it] 41%|████ | 4060/10000 [15:36:05<21:02:58, 12.76s/it] 41%|████ | 4061/10000 [15:36:17<20:47:48, 12.61s/it] 41%|████ | 4062/10000 [15:36:29<20:39:05, 12.52s/it] 41%|████ | 4063/10000 [15:36:42<20:41:59, 12.55s/it] 41%|████ | 4064/10000 [15:36:54<20:23:04, 12.36s/it] 41%|████ | 4065/10000 [15:37:06<20:24:19, 12.38s/it] 41%|████ | 4066/10000 [15:37:20<21:00:39, 12.75s/it] 41%|████ | 4067/10000 [15:37:32<20:47:26, 12.62s/it] 41%|████ | 4068/10000 [15:37:44<20:23:07, 12.37s/it] 41%|████ | 4069/10000 [15:37:56<20:22:04, 12.36s/it] 41%|████ | 4070/10000 [15:38:08<20:02:42, 12.17s/it] 41%|████ | 4071/10000 [15:38:20<19:54:30, 12.09s/it] 41%|████ | 4072/10000 [15:38:32<19:57:39, 12.12s/it] 41%|████ | 4073/10000 [15:38:45<20:03:22, 12.18s/it] 41%|████ | 4074/10000 [15:38:58<20:35:47, 12.51s/it] 41%|████ | 4075/10000 [15:39:14<22:13:57, 13.51s/it] 41%|████ | 4075/10000 [15:39:14<22:13:57, 13.51s/it] 41%|████ | 4076/10000 [15:39:26<21:28:11, 13.05s/it] 41%|████ | 4077/10000 [15:39:38<21:06:07, 12.83s/it] 41%|████ | 4078/10000 [15:39:50<20:54:08, 12.71s/it] 41%|████ | 4079/10000 [15:40:03<20:39:28, 12.56s/it] 41%|████ | 4080/10000 [15:40:16<21:17:28, 12.95s/it] 41%|████ | 4081/10000 [15:40:30<21:27:00, 13.05s/it] 41%|████ | 4082/10000 [15:40:43<21:27:26, 13.05s/it] 41%|████ | 4083/10000 [15:40:55<21:10:28, 12.88s/it] 41%|████ | 4084/10000 [15:41:07<20:38:59, 12.57s/it] 41%|████ | 4085/10000 [15:41:20<20:35:02, 12.53s/it] 41%|████ | 4086/10000 [15:41:32<20:35:18, 12.53s/it] 41%|████ | 4087/10000 [15:41:45<20:50:30, 12.69s/it] 41%|████ | 4088/10000 [15:41:58<21:03:26, 12.82s/it] 41%|████ | 4089/10000 [15:42:10<20:43:06, 12.62s/it] 41%|████ | 4090/10000 [15:42:23<20:42:53, 12.62s/it] 41%|████ | 4091/10000 [15:42:35<20:30:13, 12.49s/it] 41%|████ | 4092/10000 [15:42:47<20:12:17, 12.31s/it] 41%|████ | 4093/10000 [15:43:00<20:16:15, 12.35s/it] 41%|████ | 4094/10000 [15:43:12<20:24:54, 12.44s/it] 41%|████ | 4095/10000 [15:43:24<20:02:29, 12.22s/it] 41%|████ | 4096/10000 [15:43:36<19:49:27, 12.09s/it] 41%|████ | 4097/10000 [15:43:48<19:56:40, 12.16s/it] 41%|████ | 4098/10000 [15:44:01<20:10:24, 12.31s/it] 41%|████ | 4099/10000 [15:44:13<20:00:04, 12.20s/it] 41%|████ | 4100/10000 [15:44:26<20:30:40, 12.52s/it] 41%|████ | 4100/10000 [15:44:26<20:30:40, 12.52s/it] 41%|████ | 4101/10000 [15:44:38<20:16:20, 12.37s/it] 41%|████ | 4102/10000 [15:44:49<19:39:15, 12.00s/it] 41%|████ | 4103/10000 [15:45:00<19:06:00, 11.66s/it] 41%|████ | 4104/10000 [15:45:12<19:08:21, 11.69s/it] 41%|████ | 4105/10000 [15:45:23<19:00:15, 11.61s/it] 41%|████ | 4106/10000 [15:45:35<19:20:32, 11.81s/it] 41%|████ | 4107/10000 [15:45:52<21:33:55, 13.17s/it] 41%|████ | 4108/10000 [15:46:05<21:33:58, 13.18s/it] 41%|████ | 4109/10000 [15:46:16<20:40:18, 12.63s/it] 41%|████ | 4110/10000 [15:46:27<19:48:33, 12.11s/it] 41%|████ | 4111/10000 [15:46:40<20:00:01, 12.23s/it] 41%|████ | 4112/10000 [15:46:51<19:25:39, 11.88s/it] 41%|████ | 4113/10000 [15:47:03<19:24:57, 11.87s/it] 41%|████ | 4114/10000 [15:47:16<20:15:21, 12.39s/it] 41%|████ | 4115/10000 [15:47:28<19:45:05, 12.08s/it] 41%|████ | 4116/10000 [15:47:39<19:14:57, 11.78s/it] 41%|████ | 4117/10000 [15:47:50<19:12:22, 11.75s/it] 41%|████ | 4118/10000 [15:48:02<18:56:23, 11.59s/it] 41%|████ | 4119/10000 [15:48:14<19:09:05, 11.72s/it] 41%|████ | 4120/10000 [15:48:26<19:16:56, 11.81s/it] 41%|████ | 4121/10000 [15:48:37<18:56:03, 11.59s/it] 41%|████ | 4122/10000 [15:48:48<18:51:46, 11.55s/it] 41%|████ | 4123/10000 [15:48:59<18:44:19, 11.48s/it] 41%|████ | 4124/10000 [15:49:11<18:35:14, 11.39s/it] 41%|████▏ | 4125/10000 [15:49:22<18:21:42, 11.25s/it] 41%|████▏ | 4125/10000 [15:49:22<18:21:42, 11.25s/it] 41%|████▏ | 4126/10000 [15:49:35<19:14:33, 11.79s/it] 41%|████▏ | 4127/10000 [15:49:46<19:03:51, 11.69s/it] 41%|████▏ | 4128/10000 [15:49:59<19:27:33, 11.93s/it] 41%|████▏ | 4129/10000 [15:50:10<19:06:08, 11.71s/it] 41%|████▏ | 4130/10000 [15:50:21<19:00:16, 11.66s/it] 41%|████▏ | 4131/10000 [15:50:32<18:36:19, 11.41s/it] 41%|████▏ | 4132/10000 [15:50:44<18:40:32, 11.46s/it] 41%|████▏ | 4133/10000 [15:50:55<18:36:57, 11.42s/it] 41%|████▏ | 4134/10000 [15:51:06<18:20:52, 11.26s/it] 41%|████▏ | 4135/10000 [15:51:18<18:38:43, 11.44s/it] 41%|████▏ | 4136/10000 [15:51:28<18:15:43, 11.21s/it] 41%|████▏ | 4137/10000 [15:51:40<18:29:35, 11.36s/it] 41%|████▏ | 4138/10000 [15:51:51<18:16:50, 11.23s/it] 41%|████▏ | 4139/10000 [15:52:03<18:37:40, 11.44s/it] 41%|████▏ | 4140/10000 [15:52:14<18:11:44, 11.18s/it] 41%|████▏ | 4141/10000 [15:52:26<19:00:50, 11.68s/it] 41%|████▏ | 4142/10000 [15:52:38<18:59:55, 11.68s/it] 41%|████▏ | 4143/10000 [15:52:49<18:47:26, 11.55s/it] 41%|████▏ | 4144/10000 [15:53:02<19:28:40, 11.97s/it] 41%|████▏ | 4145/10000 [15:53:15<19:47:03, 12.16s/it] 41%|████▏ | 4146/10000 [15:53:28<20:23:25, 12.54s/it] 41%|████▏ | 4147/10000 [15:53:41<20:23:35, 12.54s/it] 41%|████▏ | 4148/10000 [15:53:53<20:18:59, 12.50s/it] 41%|████▏ | 4149/10000 [15:54:05<20:10:18, 12.41s/it] 42%|████▏ | 4150/10000 [15:54:18<20:21:16, 12.53s/it] 42%|████▏ | 4150/10000 [15:54:18<20:21:16, 12.53s/it] 42%|████▏ | 4151/10000 [15:54:30<20:11:45, 12.43s/it] 42%|████▏ | 4152/10000 [15:54:45<20:59:01, 12.92s/it] 42%|████▏ | 4153/10000 [15:54:57<20:38:20, 12.71s/it] 42%|████▏ | 4154/10000 [15:55:09<20:23:29, 12.56s/it] 42%|████▏ | 4155/10000 [15:55:22<20:34:10, 12.67s/it] 42%|████▏ | 4156/10000 [15:55:34<20:19:58, 12.53s/it] 42%|████▏ | 4157/10000 [15:55:46<19:53:16, 12.25s/it] 42%|████▏ | 4158/10000 [15:55:58<19:55:14, 12.28s/it] 42%|████▏ | 4159/10000 [15:56:10<19:33:27, 12.05s/it] 42%|████▏ | 4160/10000 [15:56:22<19:44:53, 12.17s/it] 42%|████▏ | 4161/10000 [15:56:34<19:51:25, 12.24s/it] 42%|████▏ | 4162/10000 [15:56:49<21:09:06, 13.04s/it] 42%|████▏ | 4163/10000 [15:57:02<20:46:11, 12.81s/it] 42%|████▏ | 4164/10000 [15:57:13<20:11:24, 12.45s/it] 42%|████▏ | 4165/10000 [15:57:25<20:06:24, 12.41s/it] 42%|████▏ | 4166/10000 [15:57:37<19:44:42, 12.18s/it] 42%|████▏ | 4167/10000 [15:57:49<19:31:19, 12.05s/it] 42%|████▏ | 4168/10000 [15:58:01<19:34:05, 12.08s/it] 42%|████▏ | 4169/10000 [15:58:13<19:39:28, 12.14s/it] 42%|████▏ | 4170/10000 [15:58:26<20:09:13, 12.44s/it] 42%|████▏ | 4171/10000 [15:58:38<19:48:56, 12.24s/it] 42%|████▏ | 4172/10000 [15:58:51<20:10:01, 12.46s/it] 42%|████▏ | 4173/10000 [15:59:04<20:07:26, 12.43s/it] 42%|████▏ | 4174/10000 [15:59:15<19:48:53, 12.24s/it] 42%|████▏ | 4175/10000 [15:59:28<20:04:39, 12.41s/it] 42%|████▏ | 4175/10000 [15:59:28<20:04:39, 12.41s/it] 42%|████▏ | 4176/10000 [15:59:41<20:25:18, 12.62s/it] 42%|████▏ | 4177/10000 [15:59:53<20:00:34, 12.37s/it] 42%|████▏ | 4178/10000 [16:00:05<20:01:28, 12.38s/it] 42%|████▏ | 4179/10000 [16:00:18<19:57:14, 12.34s/it] 42%|████▏ | 4180/10000 [16:00:29<19:34:28, 12.11s/it] 42%|████▏ | 4181/10000 [16:00:43<20:16:07, 12.54s/it] 42%|████▏ | 4182/10000 [16:00:55<20:11:54, 12.50s/it] 42%|████▏ | 4183/10000 [16:01:08<20:24:30, 12.63s/it] 42%|████▏ | 4184/10000 [16:01:20<20:05:03, 12.43s/it] 42%|████▏ | 4185/10000 [16:01:32<20:00:32, 12.39s/it] 42%|████▏ | 4186/10000 [16:01:44<19:32:51, 12.10s/it] 42%|████▏ | 4187/10000 [16:01:56<19:35:09, 12.13s/it] 42%|████▏ | 4188/10000 [16:02:07<19:05:53, 11.83s/it] 42%|████▏ | 4189/10000 [16:02:19<19:06:48, 11.84s/it] 42%|████▏ | 4190/10000 [16:02:34<20:29:19, 12.70s/it] 42%|████▏ | 4191/10000 [16:02:45<19:39:32, 12.18s/it] 42%|████▏ | 4192/10000 [16:02:56<19:16:11, 11.94s/it] 42%|████▏ | 4193/10000 [16:03:07<18:58:08, 11.76s/it] 42%|████▏ | 4194/10000 [16:03:19<18:47:05, 11.65s/it] 42%|████▏ | 4195/10000 [16:03:31<19:08:51, 11.87s/it] 42%|████▏ | 4196/10000 [16:03:43<19:04:16, 11.83s/it] 42%|████▏ | 4197/10000 [16:03:55<19:18:10, 11.97s/it] 42%|████▏ | 4198/10000 [16:04:09<20:04:03, 12.45s/it] 42%|████▏ | 4199/10000 [16:04:21<19:41:51, 12.22s/it] 42%|████▏ | 4200/10000 [16:04:33<19:37:09, 12.18s/it] 42%|████▏ | 4200/10000 [16:04:33<19:37:09, 12.18s/it] 42%|████▏ | 4201/10000 [16:04:46<20:04:54, 12.47s/it] 42%|████▏ | 4202/10000 [16:04:57<19:17:49, 11.98s/it] 42%|████▏ | 4203/10000 [16:05:09<19:34:51, 12.16s/it] 42%|████▏ | 4204/10000 [16:05:20<18:50:26, 11.70s/it] 42%|████▏ | 4205/10000 [16:05:32<18:50:25, 11.70s/it] 42%|████▏ | 4206/10000 [16:05:44<19:05:54, 11.87s/it] 42%|████▏ | 4207/10000 [16:05:55<18:41:33, 11.62s/it] 42%|████▏ | 4208/10000 [16:06:07<18:58:50, 11.80s/it] 42%|████▏ | 4209/10000 [16:06:18<18:29:27, 11.49s/it] 42%|████▏ | 4210/10000 [16:06:33<20:17:05, 12.61s/it] 42%|████▏ | 4211/10000 [16:06:47<20:54:25, 13.00s/it] 42%|████▏ | 4212/10000 [16:06:58<20:11:17, 12.56s/it] 42%|████▏ | 4213/10000 [16:07:11<19:56:17, 12.40s/it] 42%|████▏ | 4214/10000 [16:07:24<20:14:47, 12.60s/it] 42%|████▏ | 4215/10000 [16:07:35<19:34:09, 12.18s/it] 42%|████▏ | 4216/10000 [16:07:46<19:17:43, 12.01s/it] 42%|████▏ | 4217/10000 [16:08:00<19:55:48, 12.41s/it] 42%|████▏ | 4218/10000 [16:08:12<19:44:51, 12.30s/it] 42%|████▏ | 4219/10000 [16:08:23<19:24:16, 12.08s/it] 42%|████▏ | 4220/10000 [16:08:35<19:14:37, 11.99s/it] 42%|████▏ | 4221/10000 [16:08:48<19:40:15, 12.25s/it] 42%|████▏ | 4222/10000 [16:09:00<19:34:22, 12.19s/it] 42%|████▏ | 4223/10000 [16:09:11<18:58:42, 11.83s/it] 42%|████▏ | 4224/10000 [16:09:24<19:20:12, 12.05s/it] 42%|████▏ | 4225/10000 [16:09:35<18:52:30, 11.77s/it] 42%|████▏ | 4225/10000 [16:09:35<18:52:30, 11.77s/it] 42%|████▏ | 4226/10000 [16:09:48<19:35:09, 12.21s/it] 42%|████▏ | 4227/10000 [16:09:59<19:00:03, 11.85s/it] 42%|████▏ | 4228/10000 [16:10:11<18:55:14, 11.80s/it] 42%|████▏ | 4229/10000 [16:10:22<18:35:56, 11.60s/it] 42%|████▏ | 4230/10000 [16:10:34<18:48:58, 11.74s/it] 42%|████▏ | 4231/10000 [16:10:45<18:42:32, 11.67s/it] 42%|████▏ | 4232/10000 [16:10:57<18:31:10, 11.56s/it] 42%|████▏ | 4233/10000 [16:11:08<18:22:35, 11.47s/it] 42%|████▏ | 4234/10000 [16:11:20<18:26:29, 11.51s/it] 42%|████▏ | 4235/10000 [16:11:30<18:01:19, 11.25s/it] 42%|████▏ | 4236/10000 [16:11:41<17:48:20, 11.12s/it] 42%|████▏ | 4237/10000 [16:11:53<18:13:03, 11.38s/it] 42%|████▏ | 4238/10000 [16:12:07<19:17:07, 12.05s/it] 42%|████▏ | 4239/10000 [16:12:19<19:37:08, 12.26s/it] 42%|████▏ | 4240/10000 [16:12:31<19:28:42, 12.17s/it] 42%|████▏ | 4241/10000 [16:12:43<19:03:32, 11.91s/it] 42%|████▏ | 4242/10000 [16:12:54<18:57:23, 11.85s/it] 42%|████▏ | 4243/10000 [16:13:05<18:32:48, 11.60s/it] 42%|████▏ | 4244/10000 [16:13:18<19:17:59, 12.07s/it] 42%|████▏ | 4245/10000 [16:13:32<19:46:51, 12.37s/it] 42%|████▏ | 4246/10000 [16:13:43<19:11:21, 12.01s/it] 42%|████▏ | 4247/10000 [16:13:54<18:53:33, 11.82s/it] 42%|████▏ | 4248/10000 [16:14:07<19:16:59, 12.07s/it] 42%|████▏ | 4249/10000 [16:14:19<19:31:48, 12.23s/it] 42%|████▎ | 4250/10000 [16:14:31<19:22:37, 12.13s/it] 42%|████▎ | 4250/10000 [16:14:31<19:22:37, 12.13s/it] 43%|████▎ | 4251/10000 [16:14:45<20:01:45, 12.54s/it] 43%|████▎ | 4252/10000 [16:14:56<19:31:18, 12.23s/it] 43%|████▎ | 4253/10000 [16:15:08<19:09:22, 12.00s/it] 43%|████▎ | 4254/10000 [16:15:19<18:57:29, 11.88s/it] 43%|████▎ | 4255/10000 [16:15:31<18:50:10, 11.80s/it] 43%|████▎ | 4256/10000 [16:15:42<18:28:18, 11.58s/it] 43%|████▎ | 4257/10000 [16:15:56<19:45:26, 12.38s/it] 43%|████▎ | 4258/10000 [16:16:07<18:54:58, 11.86s/it] 43%|████▎ | 4259/10000 [16:16:19<19:10:50, 12.03s/it] 43%|████▎ | 4260/10000 [16:16:30<18:36:55, 11.68s/it] 43%|████▎ | 4261/10000 [16:16:42<18:46:26, 11.78s/it] 43%|████▎ | 4262/10000 [16:16:53<18:26:17, 11.57s/it] 43%|████▎ | 4263/10000 [16:17:06<18:56:14, 11.88s/it] 43%|████▎ | 4264/10000 [16:17:18<19:14:53, 12.08s/it] 43%|████▎ | 4265/10000 [16:17:30<19:02:02, 11.95s/it] 43%|████▎ | 4266/10000 [16:17:42<18:58:19, 11.91s/it] 43%|████▎ | 4267/10000 [16:17:54<19:09:35, 12.03s/it] 43%|████▎ | 4268/10000 [16:18:05<18:33:29, 11.66s/it] 43%|████▎ | 4269/10000 [16:18:17<18:55:13, 11.89s/it] 43%|████▎ | 4270/10000 [16:18:29<19:00:11, 11.94s/it] 43%|████▎ | 4271/10000 [16:18:42<19:04:08, 11.98s/it] 43%|████▎ | 4272/10000 [16:18:54<19:25:57, 12.21s/it] 43%|████▎ | 4273/10000 [16:19:08<20:02:48, 12.60s/it] 43%|████▎ | 4274/10000 [16:19:20<19:56:18, 12.54s/it] 43%|████▎ | 4275/10000 [16:19:33<19:57:24, 12.55s/it] 43%|████▎ | 4275/10000 [16:19:33<19:57:24, 12.55s/it] 43%|████▎ | 4276/10000 [16:19:45<19:35:42, 12.32s/it] 43%|████▎ | 4277/10000 [16:19:59<20:35:04, 12.95s/it] 43%|████▎ | 4278/10000 [16:20:11<20:12:47, 12.72s/it] 43%|████▎ | 4279/10000 [16:20:24<20:04:46, 12.64s/it] 43%|████▎ | 4280/10000 [16:20:36<19:47:00, 12.45s/it] 43%|████▎ | 4281/10000 [16:20:48<19:57:11, 12.56s/it] 43%|████▎ | 4282/10000 [16:21:00<19:20:17, 12.18s/it] 43%|████▎ | 4283/10000 [16:21:12<19:28:42, 12.27s/it] 43%|████▎ | 4284/10000 [16:21:25<19:42:24, 12.41s/it] 43%|████▎ | 4285/10000 [16:21:37<19:29:08, 12.27s/it] 43%|████▎ | 4286/10000 [16:21:49<19:22:45, 12.21s/it] 43%|████▎ | 4287/10000 [16:22:00<18:53:55, 11.91s/it] 43%|████▎ | 4288/10000 [16:22:12<19:05:57, 12.04s/it] 43%|████▎ | 4289/10000 [16:22:27<20:07:34, 12.69s/it] 43%|████▎ | 4290/10000 [16:22:38<19:39:06, 12.39s/it] 43%|████▎ | 4291/10000 [16:22:50<19:21:58, 12.21s/it] 43%|████▎ | 4292/10000 [16:23:02<19:17:53, 12.17s/it] 43%|████▎ | 4293/10000 [16:23:16<19:56:57, 12.58s/it] 43%|████▎ | 4294/10000 [16:23:27<19:16:00, 12.16s/it] 43%|████▎ | 4295/10000 [16:23:39<19:22:15, 12.22s/it] 43%|████▎ | 4296/10000 [16:23:51<19:02:32, 12.02s/it] 43%|████▎ | 4297/10000 [16:24:03<19:03:05, 12.03s/it] 43%|████▎ | 4298/10000 [16:24:17<20:06:54, 12.70s/it] 43%|████▎ | 4299/10000 [16:24:29<19:50:21, 12.53s/it] 43%|████▎ | 4300/10000 [16:24:41<19:26:22, 12.28s/it] 43%|████▎ | 4300/10000 [16:24:41<19:26:22, 12.28s/it] 43%|████▎ | 4301/10000 [16:24:54<19:54:33, 12.58s/it] 43%|████▎ | 4302/10000 [16:25:08<20:22:34, 12.87s/it] 43%|████▎ | 4303/10000 [16:25:20<19:50:50, 12.54s/it] 43%|████▎ | 4304/10000 [16:25:33<20:10:06, 12.75s/it] 43%|████▎ | 4305/10000 [16:25:46<20:19:22, 12.85s/it] 43%|████▎ | 4306/10000 [16:25:58<20:01:05, 12.66s/it] 43%|████▎ | 4307/10000 [16:26:10<19:35:15, 12.39s/it] 43%|████▎ | 4308/10000 [16:26:22<19:20:40, 12.23s/it] 43%|████▎ | 4309/10000 [16:26:34<19:30:37, 12.34s/it] 43%|████▎ | 4310/10000 [16:26:46<19:10:54, 12.14s/it] 43%|████▎ | 4311/10000 [16:26:58<19:05:24, 12.08s/it] 43%|████▎ | 4312/10000 [16:27:10<18:57:36, 12.00s/it] 43%|████▎ | 4313/10000 [16:27:21<18:41:58, 11.84s/it] 43%|████▎ | 4314/10000 [16:27:34<18:56:17, 11.99s/it] 43%|████▎ | 4315/10000 [16:27:47<19:22:24, 12.27s/it] 43%|████▎ | 4316/10000 [16:27:59<19:21:56, 12.27s/it] 43%|████▎ | 4317/10000 [16:28:10<18:54:12, 11.97s/it] 43%|████▎ | 4318/10000 [16:28:23<19:18:04, 12.23s/it] 43%|████▎ | 4319/10000 [16:28:35<19:23:48, 12.29s/it] 43%|████▎ | 4320/10000 [16:28:47<18:52:47, 11.97s/it] 43%|████▎ | 4321/10000 [16:28:58<18:25:32, 11.68s/it] 43%|████▎ | 4322/10000 [16:29:09<18:30:07, 11.73s/it] 43%|████▎ | 4323/10000 [16:29:21<18:39:35, 11.83s/it] 43%|████▎ | 4324/10000 [16:29:34<19:01:12, 12.06s/it] 43%|████▎ | 4325/10000 [16:29:48<19:58:54, 12.68s/it] 43%|████▎ | 4325/10000 [16:29:48<19:58:54, 12.68s/it] 43%|████▎ | 4326/10000 [16:30:00<19:42:02, 12.50s/it] 43%|████▎ | 4327/10000 [16:30:14<20:20:21, 12.91s/it] 43%|████▎ | 4328/10000 [16:30:26<19:45:02, 12.54s/it] 43%|████▎ | 4329/10000 [16:30:38<19:48:43, 12.58s/it] 43%|████▎ | 4330/10000 [16:30:50<19:27:49, 12.36s/it] 43%|████▎ | 4331/10000 [16:31:04<19:51:57, 12.62s/it] 43%|████▎ | 4332/10000 [16:31:16<19:36:18, 12.45s/it] 43%|████▎ | 4333/10000 [16:31:27<19:03:48, 12.11s/it] 43%|████▎ | 4334/10000 [16:31:39<19:08:39, 12.16s/it] 43%|████▎ | 4335/10000 [16:31:51<18:49:34, 11.96s/it] 43%|████▎ | 4336/10000 [16:32:02<18:25:28, 11.71s/it] 43%|████▎ | 4337/10000 [16:32:14<18:26:01, 11.72s/it] 43%|████▎ | 4338/10000 [16:32:26<18:45:37, 11.93s/it] 43%|████▎ | 4339/10000 [16:32:38<18:55:37, 12.04s/it] 43%|████▎ | 4340/10000 [16:32:51<19:05:09, 12.14s/it] 43%|████▎ | 4341/10000 [16:33:02<18:49:04, 11.97s/it] 43%|████▎ | 4342/10000 [16:33:14<18:46:37, 11.95s/it] 43%|████▎ | 4343/10000 [16:33:26<18:50:47, 11.99s/it] 43%|████▎ | 4344/10000 [16:33:38<18:56:32, 12.06s/it] 43%|████▎ | 4345/10000 [16:33:51<19:22:11, 12.33s/it] 43%|████▎ | 4346/10000 [16:34:03<19:03:18, 12.13s/it] 43%|████▎ | 4347/10000 [16:34:16<19:39:41, 12.52s/it] 43%|████▎ | 4348/10000 [16:34:29<19:32:28, 12.45s/it] 43%|████▎ | 4349/10000 [16:34:40<19:10:18, 12.21s/it] 44%|████▎ | 4350/10000 [16:34:52<19:05:09, 12.16s/it] 44%|████▎ | 4350/10000 [16:34:52<19:05:09, 12.16s/it] 44%|████▎ | 4351/10000 [16:35:05<19:11:37, 12.23s/it] 44%|████▎ | 4352/10000 [16:35:17<19:09:48, 12.21s/it] 44%|████▎ | 4353/10000 [16:35:33<20:51:52, 13.30s/it] 44%|████▎ | 4354/10000 [16:35:45<20:22:18, 12.99s/it] 44%|████▎ | 4355/10000 [16:35:58<20:06:13, 12.82s/it] 44%|████▎ | 4356/10000 [16:36:10<19:58:32, 12.74s/it] 44%|████▎ | 4357/10000 [16:36:22<19:34:49, 12.49s/it] 44%|████▎ | 4358/10000 [16:36:34<19:27:39, 12.42s/it] 44%|████▎ | 4359/10000 [16:36:48<20:15:26, 12.93s/it] 44%|████▎ | 4360/10000 [16:37:01<19:52:59, 12.69s/it] 44%|████▎ | 4361/10000 [16:37:12<19:23:09, 12.38s/it] 44%|████▎ | 4362/10000 [16:37:25<19:41:19, 12.57s/it] 44%|████▎ | 4363/10000 [16:37:37<19:21:59, 12.37s/it] 44%|████▎ | 4364/10000 [16:37:48<18:52:42, 12.06s/it] 44%|████▎ | 4365/10000 [16:38:04<20:29:29, 13.09s/it] 44%|████▎ | 4366/10000 [16:38:17<20:42:02, 13.23s/it] 44%|████▎ | 4367/10000 [16:38:30<20:19:27, 12.99s/it] 44%|████▎ | 4368/10000 [16:38:42<20:01:42, 12.80s/it] 44%|████▎ | 4369/10000 [16:38:54<19:42:47, 12.60s/it] 44%|████▎ | 4370/10000 [16:39:06<19:28:11, 12.45s/it] 44%|████▎ | 4371/10000 [16:39:20<19:56:49, 12.76s/it] 44%|████▎ | 4372/10000 [16:39:31<19:17:54, 12.34s/it] 44%|████▎ | 4373/10000 [16:39:46<20:30:53, 13.12s/it] 44%|████▎ | 4374/10000 [16:39:59<20:09:54, 12.90s/it] 44%|████▍ | 4375/10000 [16:40:11<19:52:51, 12.72s/it] 44%|████▍ | 4375/10000 [16:40:11<19:52:51, 12.72s/it] 44%|████▍ | 4376/10000 [16:40:23<19:34:16, 12.53s/it] 44%|████▍ | 4377/10000 [16:40:37<20:11:31, 12.93s/it] 44%|████▍ | 4378/10000 [16:40:50<20:04:20, 12.85s/it] 44%|████▍ | 4379/10000 [16:41:01<19:34:11, 12.53s/it] 44%|████▍ | 4380/10000 [16:41:14<19:36:55, 12.57s/it] 44%|████▍ | 4381/10000 [16:41:27<19:38:00, 12.58s/it] 44%|████▍ | 4382/10000 [16:41:38<18:52:55, 12.10s/it] 44%|████▍ | 4383/10000 [16:41:50<19:08:30, 12.27s/it] 44%|████▍ | 4384/10000 [16:42:02<19:02:01, 12.20s/it] 44%|████▍ | 4385/10000 [16:42:14<18:41:18, 11.98s/it] 44%|████▍ | 4386/10000 [16:42:25<18:30:12, 11.87s/it] 44%|████▍ | 4387/10000 [16:42:38<19:01:40, 12.20s/it] 44%|████▍ | 4388/10000 [16:42:49<18:26:04, 11.83s/it] 44%|████▍ | 4389/10000 [16:43:01<18:12:29, 11.68s/it] 44%|████▍ | 4390/10000 [16:43:14<19:01:32, 12.21s/it] 44%|████▍ | 4391/10000 [16:43:26<18:55:39, 12.15s/it] 44%|████▍ | 4392/10000 [16:43:37<18:15:38, 11.72s/it] 44%|████▍ | 4393/10000 [16:43:50<18:42:57, 12.02s/it] 44%|████▍ | 4394/10000 [16:44:02<18:57:26, 12.17s/it] 44%|████▍ | 4395/10000 [16:44:14<18:38:22, 11.97s/it] 44%|████▍ | 4396/10000 [16:44:26<18:49:17, 12.09s/it] 44%|████▍ | 4397/10000 [16:44:37<18:31:25, 11.90s/it] 44%|████▍ | 4398/10000 [16:44:48<18:06:47, 11.64s/it] 44%|████▍ | 4399/10000 [16:45:00<17:51:47, 11.48s/it] 44%|████▍ | 4400/10000 [16:45:13<18:41:40, 12.02s/it] 44%|████▍ | 4400/10000 [16:45:13<18:41:40, 12.02s/it] 44%|████▍ | 4401/10000 [16:45:26<19:00:33, 12.22s/it] 44%|████▍ | 4402/10000 [16:45:39<19:22:58, 12.46s/it] 44%|████▍ | 4403/10000 [16:45:50<18:52:29, 12.14s/it] 44%|████▍ | 4404/10000 [16:46:02<18:37:03, 11.98s/it] 44%|████▍ | 4405/10000 [16:46:14<18:46:02, 12.08s/it] 44%|████▍ | 4406/10000 [16:46:25<18:27:47, 11.88s/it] 44%|████▍ | 4407/10000 [16:46:36<18:05:09, 11.64s/it] 44%|████▍ | 4408/10000 [16:46:49<18:37:04, 11.99s/it] 44%|████▍ | 4409/10000 [16:47:00<18:07:34, 11.67s/it] 44%|████▍ | 4410/10000 [16:47:12<18:14:05, 11.74s/it] 44%|████▍ | 4411/10000 [16:47:24<18:10:05, 11.70s/it] 44%|████▍ | 4412/10000 [16:47:37<18:51:14, 12.15s/it] 44%|████▍ | 4413/10000 [16:47:50<19:33:16, 12.60s/it] 44%|████▍ | 4414/10000 [16:48:02<19:16:55, 12.43s/it] 44%|████▍ | 4415/10000 [16:48:14<18:52:24, 12.17s/it] 44%|████▍ | 4416/10000 [16:48:26<18:55:48, 12.20s/it] 44%|████▍ | 4417/10000 [16:48:38<18:50:59, 12.15s/it] 44%|████▍ | 4418/10000 [16:48:51<18:54:39, 12.20s/it] 44%|████▍ | 4419/10000 [16:49:03<18:56:18, 12.22s/it] 44%|████▍ | 4420/10000 [16:49:17<19:56:48, 12.87s/it] 44%|████▍ | 4421/10000 [16:49:30<19:44:06, 12.73s/it] 44%|████▍ | 4422/10000 [16:49:41<19:16:40, 12.44s/it] 44%|████▍ | 4423/10000 [16:49:55<19:37:33, 12.67s/it] 44%|████▍ | 4424/10000 [16:50:07<19:15:54, 12.44s/it] 44%|████▍ | 4425/10000 [16:50:18<19:00:16, 12.27s/it] 44%|████▍ | 4425/10000 [16:50:18<19:00:16, 12.27s/it] 44%|████▍ | 4426/10000 [16:50:31<19:12:00, 12.40s/it] 44%|████▍ | 4427/10000 [16:50:43<19:04:39, 12.32s/it] 44%|████▍ | 4428/10000 [16:50:55<18:55:24, 12.23s/it] 44%|████▍ | 4429/10000 [16:51:07<18:42:45, 12.09s/it] 44%|████▍ | 4430/10000 [16:51:20<18:58:11, 12.26s/it] 44%|████▍ | 4431/10000 [16:51:31<18:38:50, 12.05s/it] 44%|████▍ | 4432/10000 [16:51:45<19:13:42, 12.43s/it] 44%|████▍ | 4433/10000 [16:51:58<19:29:27, 12.60s/it] 44%|████▍ | 4434/10000 [16:52:11<19:39:44, 12.72s/it] 44%|████▍ | 4435/10000 [16:52:23<19:28:54, 12.60s/it] 44%|████▍ | 4436/10000 [16:52:35<19:15:56, 12.47s/it] 44%|████▍ | 4437/10000 [16:52:47<18:50:45, 12.20s/it] 44%|████▍ | 4438/10000 [16:53:00<19:11:57, 12.43s/it] 44%|████▍ | 4439/10000 [16:53:12<19:01:15, 12.31s/it] 44%|████▍ | 4440/10000 [16:53:25<19:22:04, 12.54s/it] 44%|████▍ | 4441/10000 [16:53:37<19:01:02, 12.32s/it] 44%|████▍ | 4442/10000 [16:53:50<19:38:30, 12.72s/it] 44%|████▍ | 4443/10000 [16:54:02<19:10:43, 12.42s/it] 44%|████▍ | 4444/10000 [16:54:15<19:18:47, 12.51s/it] 44%|████▍ | 4445/10000 [16:54:28<19:36:40, 12.71s/it] 44%|████▍ | 4446/10000 [16:54:40<19:20:21, 12.54s/it] 44%|████▍ | 4447/10000 [16:54:53<19:31:32, 12.66s/it] 44%|████▍ | 4448/10000 [16:55:05<19:25:03, 12.59s/it] 44%|████▍ | 4449/10000 [16:55:16<18:45:06, 12.16s/it] 44%|████▍ | 4450/10000 [16:55:30<19:18:57, 12.53s/it] 44%|████▍ | 4450/10000 [16:55:30<19:18:57, 12.53s/it] 45%|████▍ | 4451/10000 [16:55:43<19:33:21, 12.69s/it] 45%|████▍ | 4452/10000 [16:55:55<19:16:01, 12.50s/it] 45%|████▍ | 4453/10000 [16:56:07<18:49:21, 12.22s/it] 45%|████▍ | 4454/10000 [16:56:19<18:45:36, 12.18s/it] 45%|████▍ | 4455/10000 [16:56:30<18:31:46, 12.03s/it] 45%|████▍ | 4456/10000 [16:56:42<18:16:18, 11.86s/it] 45%|████▍ | 4457/10000 [16:56:54<18:32:19, 12.04s/it] 45%|████▍ | 4458/10000 [16:57:05<18:05:06, 11.75s/it] 45%|████▍ | 4459/10000 [16:57:17<18:05:48, 11.76s/it] 45%|████▍ | 4460/10000 [16:57:30<18:26:02, 11.98s/it] 45%|████▍ | 4461/10000 [16:57:41<18:07:07, 11.78s/it] 45%|████▍ | 4462/10000 [16:57:53<18:03:39, 11.74s/it] 45%|████▍ | 4463/10000 [16:58:04<17:59:18, 11.70s/it] 45%|████▍ | 4464/10000 [16:58:16<17:57:29, 11.68s/it] 45%|████▍ | 4465/10000 [16:58:28<18:11:20, 11.83s/it] 45%|████▍ | 4466/10000 [16:58:39<18:01:13, 11.72s/it] 45%|████▍ | 4467/10000 [16:58:52<18:28:47, 12.02s/it] 45%|████▍ | 4468/10000 [16:59:05<18:42:11, 12.17s/it] 45%|████▍ | 4469/10000 [16:59:17<18:57:06, 12.34s/it] 45%|████▍ | 4470/10000 [16:59:29<18:38:50, 12.14s/it] 45%|████▍ | 4471/10000 [16:59:40<18:02:54, 11.75s/it] 45%|████▍ | 4472/10000 [16:59:52<18:19:24, 11.93s/it] 45%|████▍ | 4473/10000 [17:00:04<18:05:55, 11.79s/it] 45%|████▍ | 4474/10000 [17:00:16<18:20:35, 11.95s/it] 45%|████▍ | 4475/10000 [17:00:31<19:40:13, 12.82s/it] 45%|████▍ | 4475/10000 [17:00:31<19:40:13, 12.82s/it] 45%|████▍ | 4476/10000 [17:00:42<19:04:40, 12.43s/it] 45%|████▍ | 4477/10000 [17:00:55<19:14:49, 12.55s/it] 45%|████▍ | 4478/10000 [17:01:07<18:47:29, 12.25s/it] 45%|████▍ | 4479/10000 [17:01:21<19:40:03, 12.82s/it] 45%|████▍ | 4480/10000 [17:01:33<19:06:42, 12.46s/it] 45%|████▍ | 4481/10000 [17:01:45<19:06:16, 12.46s/it] 45%|████▍ | 4482/10000 [17:01:56<18:30:57, 12.08s/it] 45%|████▍ | 4483/10000 [17:02:07<18:04:04, 11.79s/it] 45%|████▍ | 4484/10000 [17:02:19<18:03:45, 11.79s/it] 45%|████▍ | 4485/10000 [17:02:30<17:47:42, 11.62s/it] 45%|████▍ | 4486/10000 [17:02:42<17:38:41, 11.52s/it] 45%|████▍ | 4487/10000 [17:02:54<17:59:19, 11.75s/it] 45%|████▍ | 4488/10000 [17:03:06<18:17:13, 11.94s/it] 45%|████▍ | 4489/10000 [17:03:18<18:18:26, 11.96s/it] 45%|████▍ | 4490/10000 [17:03:30<18:21:04, 11.99s/it] 45%|████▍ | 4491/10000 [17:03:42<18:22:23, 12.01s/it] 45%|████▍ | 4492/10000 [17:03:55<18:25:24, 12.04s/it] 45%|████▍ | 4493/10000 [17:04:08<19:07:53, 12.51s/it] 45%|████▍ | 4494/10000 [17:04:20<18:54:16, 12.36s/it] 45%|████▍ | 4495/10000 [17:04:34<19:36:09, 12.82s/it] 45%|████▍ | 4496/10000 [17:04:46<19:01:59, 12.45s/it] 45%|████▍ | 4497/10000 [17:04:58<18:56:58, 12.40s/it] 45%|████▍ | 4498/10000 [17:05:11<19:24:15, 12.70s/it] 45%|████▍ | 4499/10000 [17:05:24<19:12:09, 12.57s/it] 45%|████▌ | 4500/10000 [17:05:36<19:12:34, 12.57s/it] 45%|████▌ | 4500/10000 [17:05:36<19:12:34, 12.57s/it][INFO|trainer.py:2955] 2022-12-17 08:33:17,029 >> ***** Running Evaluation ***** [INFO|trainer.py:2959] 2022-12-17 08:33:17,029 >> Num examples: Unknown [INFO|trainer.py:2960] 2022-12-17 08:33:17,029 >> Batch size = 32 [INFO|trainer_utils.py:689] 2022-12-17 08:33:19,896 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length, speaker_id, duration, gender, age. If input_length, speaker_id, duration, gender, age are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. 45%|████▌ | 4500/10000 [17:18:28<19:12:34, 12.57s/it] 45%|████▌ | 4501/10000 [17:18:40<372:39:28, 243.97s/it] 45%|████▌ | 4502/10000 [17:18:51<265:47:29, 174.04s/it] 45%|████▌ | 4503/10000 [17:19:02<191:09:53, 125.19s/it] 45%|████▌ | 4504/10000 [17:19:15<139:50:45, 91.60s/it] 45%|████▌ | 4505/10000 [17:19:28<103:50:24, 68.03s/it] 45%|████▌ | 4506/10000 [17:19:39<77:39:19, 50.88s/it] 45%|████▌ | 4507/10000 [17:19:51<59:43:12, 39.14s/it] 45%|████▌ | 4508/10000 [17:20:04<47:32:25, 31.16s/it] 45%|████▌ | 4509/10000 [17:20:15<38:36:35, 25.31s/it] 45%|████▌ | 4510/10000 [17:20:27<32:30:37, 21.32s/it] 45%|████▌ | 4511/10000 [17:20:38<27:54:45, 18.31s/it] 45%|████▌ | 4512/10000 [17:20:50<24:38:43, 16.17s/it] 45%|████▌ | 4513/10000 [17:21:03<23:22:21, 15.33s/it] 45%|████▌ | 4514/10000 [17:21:14<21:28:26, 14.09s/it] 45%|████▌ | 4515/10000 [17:21:27<20:39:44, 13.56s/it] 45%|████▌ | 4516/10000 [17:21:39<20:02:44, 13.16s/it] 45%|████▌ | 4517/10000 [17:21:51<19:31:43, 12.82s/it] 45%|████▌ | 4518/10000 [17:22:02<18:57:30, 12.45s/it] 45%|████▌ | 4519/10000 [17:22:14<18:40:13, 12.26s/it] 45%|████▌ | 4520/10000 [17:22:26<18:12:55, 11.97s/it] 45%|████▌ | 4521/10000 [17:22:37<18:09:06, 11.93s/it] 45%|████▌ | 4522/10000 [17:22:51<18:50:48, 12.39s/it] 45%|████▌ | 4523/10000 [17:23:03<18:56:32, 12.45s/it] 45%|████▌ | 4524/10000 [17:23:15<18:27:50, 12.14s/it] 45%|████▌ | 4525/10000 [17:23:26<18:07:07, 11.91s/it] 45%|████▌ | 4525/10000 [17:23:26<18:07:07, 11.91s/it] 45%|████▌ | 4526/10000 [17:23:38<17:59:32, 11.83s/it] 45%|████▌ | 4527/10000 [17:23:50<17:57:13, 11.81s/it] 45%|████▌ | 4528/10000 [17:24:02<18:00:09, 11.84s/it] 45%|████▌ | 4529/10000 [17:24:15<18:38:02, 12.26s/it] 45%|████▌ | 4530/10000 [17:24:27<18:30:54, 12.19s/it] 45%|████▌ | 4531/10000 [17:24:38<18:14:50, 12.01s/it] 45%|████▌ | 4532/10000 [17:24:49<17:45:04, 11.69s/it] 45%|████▌ | 4533/10000 [17:25:01<17:38:41, 11.62s/it] 45%|████▌ | 4534/10000 [17:25:14<18:23:27, 12.11s/it] 45%|████▌ | 4535/10000 [17:25:27<18:35:34, 12.25s/it] 45%|████▌ | 4536/10000 [17:25:41<19:21:38, 12.76s/it] 45%|████▌ | 4537/10000 [17:25:52<18:33:42, 12.23s/it] 45%|████▌ | 4538/10000 [17:26:03<18:03:34, 11.90s/it] 45%|████▌ | 4539/10000 [17:26:14<17:51:30, 11.77s/it] 45%|████▌ | 4540/10000 [17:26:26<17:47:30, 11.73s/it] 45%|████▌ | 4541/10000 [17:26:39<18:28:43, 12.19s/it] 45%|████▌ | 4542/10000 [17:26:50<18:02:45, 11.90s/it] 45%|████▌ | 4543/10000 [17:27:05<19:19:57, 12.75s/it] 45%|████▌ | 4544/10000 [17:27:17<18:58:04, 12.52s/it] 45%|████▌ | 4545/10000 [17:27:30<19:01:11, 12.55s/it] 45%|████▌ | 4546/10000 [17:27:42<18:57:44, 12.52s/it] 45%|████▌ | 4547/10000 [17:27:55<19:18:06, 12.74s/it] 45%|████▌ | 4548/10000 [17:28:07<18:54:44, 12.49s/it] 45%|████▌ | 4549/10000 [17:28:20<19:10:03, 12.66s/it] 46%|████▌ | 4550/10000 [17:28:34<19:26:07, 12.84s/it] 46%|████▌ | 4550/10000 [17:28:34<19:26:07, 12.84s/it] 46%|████▌ | 4551/10000 [17:28:45<18:53:48, 12.48s/it] 46%|████▌ | 4552/10000 [17:28:58<18:58:43, 12.54s/it] 46%|████▌ | 4553/10000 [17:29:11<19:05:15, 12.62s/it] 46%|████▌ | 4554/10000 [17:29:23<19:04:09, 12.61s/it] 46%|████▌ | 4555/10000 [17:29:35<18:47:11, 12.42s/it] 46%|████▌ | 4556/10000 [17:29:49<19:16:42, 12.75s/it] 46%|████▌ | 4557/10000 [17:30:01<18:52:23, 12.48s/it] 46%|████▌ | 4558/10000 [17:30:13<18:42:45, 12.38s/it] 46%|████▌ | 4559/10000 [17:30:26<18:56:13, 12.53s/it] 46%|████▌ | 4560/10000 [17:30:38<19:02:32, 12.60s/it] 46%|████▌ | 4561/10000 [17:30:51<19:01:54, 12.60s/it] 46%|████▌ | 4562/10000 [17:31:04<19:17:34, 12.77s/it] 46%|████▌ | 4563/10000 [17:31:17<19:32:31, 12.94s/it] 46%|████▌ | 4564/10000 [17:31:29<18:59:39, 12.58s/it] 46%|████▌ | 4565/10000 [17:31:42<18:59:18, 12.58s/it] 46%|████▌ | 4566/10000 [17:31:55<19:04:15, 12.63s/it] 46%|████▌ | 4567/10000 [17:32:06<18:45:02, 12.42s/it] 46%|████▌ | 4568/10000 [17:32:19<18:36:01, 12.33s/it] 46%|████▌ | 4569/10000 [17:32:31<18:27:09, 12.23s/it] 46%|████▌ | 4570/10000 [17:32:43<18:25:41, 12.22s/it] 46%|████▌ | 4571/10000 [17:32:57<19:23:20, 12.86s/it] 46%|████▌ | 4572/10000 [17:33:09<18:51:51, 12.51s/it] 46%|████▌ | 4573/10000 [17:33:21<18:46:18, 12.45s/it] 46%|████▌ | 4574/10000 [17:33:33<18:28:36, 12.26s/it] 46%|████▌ | 4575/10000 [17:33:45<18:16:55, 12.13s/it] 46%|████▌ | 4575/10000 [17:33:45<18:16:55, 12.13s/it] 46%|████▌ | 4576/10000 [17:33:57<18:21:37, 12.19s/it] 46%|████▌ | 4577/10000 [17:34:11<19:11:46, 12.74s/it] 46%|████▌ | 4578/10000 [17:34:25<19:29:29, 12.94s/it] 46%|████▌ | 4579/10000 [17:34:37<19:02:44, 12.65s/it] 46%|████▌ | 4580/10000 [17:34:49<18:53:35, 12.55s/it] 46%|████▌ | 4581/10000 [17:35:01<18:39:12, 12.39s/it] 46%|████▌ | 4582/10000 [17:35:13<18:26:24, 12.25s/it] 46%|████▌ | 4583/10000 [17:35:26<18:44:57, 12.46s/it] 46%|████▌ | 4584/10000 [17:35:39<18:54:06, 12.56s/it] 46%|████▌ | 4585/10000 [17:35:51<18:45:13, 12.47s/it] 46%|████▌ | 4586/10000 [17:36:03<18:37:12, 12.38s/it] 46%|████▌ | 4587/10000 [17:36:15<18:24:09, 12.24s/it] 46%|████▌ | 4588/10000 [17:36:27<18:21:21, 12.21s/it] 46%|████▌ | 4589/10000 [17:36:39<18:06:31, 12.05s/it] 46%|████▌ | 4590/10000 [17:36:54<19:42:19, 13.11s/it] 46%|████▌ | 4591/10000 [17:37:06<19:15:16, 12.81s/it] 46%|████▌ | 4592/10000 [17:37:18<18:39:39, 12.42s/it] 46%|████▌ | 4593/10000 [17:37:32<19:12:17, 12.79s/it] 46%|████▌ | 4594/10000 [17:37:44<19:04:15, 12.70s/it] 46%|████▌ | 4595/10000 [17:37:56<18:50:58, 12.55s/it] 46%|████▌ | 4596/10000 [17:38:09<19:06:30, 12.73s/it] 46%|████▌ | 4597/10000 [17:38:23<19:36:19, 13.06s/it] 46%|████▌ | 4598/10000 [17:38:35<19:04:04, 12.71s/it] 46%|████▌ | 4599/10000 [17:38:47<18:38:18, 12.42s/it] 46%|████▌ | 4600/10000 [17:39:00<18:58:42, 12.65s/it] 46%|████▌ | 4600/10000 [17:39:00<18:58:42, 12.65s/it] 46%|████▌ | 4601/10000 [17:39:13<18:54:41, 12.61s/it] 46%|████▌ | 4602/10000 [17:39:28<19:58:33, 13.32s/it] 46%|████▌ | 4603/10000 [17:39:39<19:20:56, 12.91s/it] 46%|████▌ | 4604/10000 [17:39:52<19:02:44, 12.71s/it] 46%|████▌ | 4605/10000 [17:40:04<18:49:31, 12.56s/it] 46%|████▌ | 4606/10000 [17:40:15<18:18:36, 12.22s/it] 46%|████▌ | 4607/10000 [17:40:27<18:03:45, 12.06s/it] 46%|████▌ | 4608/10000 [17:40:39<18:09:44, 12.13s/it] 46%|████▌ | 4609/10000 [17:40:52<18:28:19, 12.34s/it] 46%|████▌ | 4610/10000 [17:41:04<18:18:34, 12.23s/it] 46%|████▌ | 4611/10000 [17:41:18<19:03:22, 12.73s/it] 46%|████▌ | 4612/10000 [17:41:30<18:29:37, 12.36s/it] 46%|████▌ | 4613/10000 [17:41:41<18:12:22, 12.17s/it] 46%|████▌ | 4614/10000 [17:41:53<18:02:44, 12.06s/it] 46%|████▌ | 4615/10000 [17:42:04<17:41:21, 11.83s/it] 46%|████▌ | 4616/10000 [17:42:16<17:36:15, 11.77s/it] 46%|████▌ | 4617/10000 [17:42:27<17:20:16, 11.60s/it] 46%|████▌ | 4618/10000 [17:42:38<17:08:57, 11.47s/it] 46%|████▌ | 4619/10000 [17:42:50<17:13:53, 11.53s/it] 46%|████▌ | 4620/10000 [17:43:02<17:22:02, 11.62s/it] 46%|████▌ | 4621/10000 [17:43:14<17:37:36, 11.80s/it] 46%|████▌ | 4622/10000 [17:43:27<18:02:06, 12.07s/it] 46%|████▌ | 4623/10000 [17:43:40<18:29:55, 12.39s/it] 46%|████▌ | 4624/10000 [17:43:53<18:48:23, 12.59s/it] 46%|████▋ | 4625/10000 [17:44:05<18:21:27, 12.30s/it] 46%|████▋ | 4625/10000 [17:44:05<18:21:27, 12.30s/it] 46%|████▋ | 4626/10000 [17:44:18<18:58:23, 12.71s/it] 46%|████▋ | 4627/10000 [17:44:30<18:37:06, 12.47s/it] 46%|████▋ | 4628/10000 [17:44:43<18:35:14, 12.46s/it] 46%|████▋ | 4629/10000 [17:44:54<18:19:23, 12.28s/it] 46%|████▋ | 4630/10000 [17:45:08<18:46:36, 12.59s/it] 46%|████▋ | 4631/10000 [17:45:19<18:21:45, 12.31s/it] 46%|████▋ | 4632/10000 [17:45:33<18:44:44, 12.57s/it] 46%|████▋ | 4633/10000 [17:45:45<18:27:13, 12.38s/it] 46%|████▋ | 4634/10000 [17:45:59<19:10:26, 12.86s/it] 46%|████▋ | 4635/10000 [17:46:10<18:32:16, 12.44s/it] 46%|████▋ | 4636/10000 [17:46:24<19:03:31, 12.79s/it] 46%|████▋ | 4637/10000 [17:46:37<19:18:23, 12.96s/it] 46%|████▋ | 4638/10000 [17:46:49<19:02:05, 12.78s/it] 46%|████▋ | 4639/10000 [17:47:03<19:15:48, 12.94s/it] 46%|████▋ | 4640/10000 [17:47:15<19:07:14, 12.84s/it] 46%|████▋ | 4641/10000 [17:47:28<19:12:05, 12.90s/it] 46%|████▋ | 4642/10000 [17:47:41<19:00:13, 12.77s/it] 46%|████▋ | 4643/10000 [17:47:53<18:47:57, 12.63s/it] 46%|████▋ | 4644/10000 [17:48:07<19:16:32, 12.96s/it] 46%|████▋ | 4645/10000 [17:48:20<19:20:38, 13.00s/it] 46%|████▋ | 4646/10000 [17:48:32<19:04:57, 12.83s/it] 46%|████▋ | 4647/10000 [17:48:44<18:39:25, 12.55s/it] 46%|████▋ | 4648/10000 [17:48:57<18:38:21, 12.54s/it] 46%|████▋ | 4649/10000 [17:49:12<19:49:09, 13.33s/it] 46%|████▋ | 4650/10000 [17:49:24<19:25:04, 13.07s/it] 46%|████▋ | 4650/10000 [17:49:24<19:25:04, 13.07s/it] 47%|████▋ | 4651/10000 [17:49:36<18:55:49, 12.74s/it] 47%|████▋ | 4652/10000 [17:49:48<18:33:19, 12.49s/it] 47%|████▋ | 4653/10000 [17:50:00<18:14:46, 12.28s/it] 47%|████▋ | 4654/10000 [17:50:12<17:59:24, 12.11s/it] 47%|████▋ | 4655/10000 [17:50:25<18:27:20, 12.43s/it] 47%|████▋ | 4656/10000 [17:50:37<18:10:14, 12.24s/it] 47%|████▋ | 4657/10000 [17:50:52<19:29:27, 13.13s/it] 47%|████▋ | 4658/10000 [17:51:04<18:57:59, 12.78s/it] 47%|████▋ | 4659/10000 [17:51:16<18:29:28, 12.46s/it] 47%|████▋ | 4660/10000 [17:51:28<18:37:38, 12.56s/it] 47%|████▋ | 4661/10000 [17:51:40<18:15:33, 12.31s/it] 47%|████▋ | 4662/10000 [17:51:52<18:11:07, 12.26s/it] 47%|████▋ | 4663/10000 [17:52:05<18:28:30, 12.46s/it] 47%|████▋ | 4664/10000 [17:52:19<18:57:21, 12.79s/it] 47%|████▋ | 4665/10000 [17:52:31<18:36:13, 12.55s/it] 47%|████▋ | 4666/10000 [17:52:42<18:06:15, 12.22s/it] 47%|████▋ | 4667/10000 [17:52:56<18:48:36, 12.70s/it] 47%|████▋ | 4668/10000 [17:53:08<18:24:53, 12.43s/it] 47%|████▋ | 4669/10000 [17:53:20<18:17:36, 12.35s/it] 47%|████▋ | 4670/10000 [17:53:32<17:54:51, 12.10s/it] 47%|████▋ | 4671/10000 [17:53:44<18:08:49, 12.26s/it] 47%|████▋ | 4672/10000 [17:53:56<17:48:43, 12.04s/it] 47%|████▋ | 4673/10000 [17:54:09<18:30:40, 12.51s/it] 47%|████▋ | 4674/10000 [17:54:21<18:19:00, 12.38s/it] 47%|████▋ | 4675/10000 [17:54:35<18:43:18, 12.66s/it] 47%|████▋ | 4675/10000 [17:54:35<18:43:18, 12.66s/it] 47%|████▋ | 4676/10000 [17:54:48<18:52:49, 12.77s/it] 47%|████▋ | 4677/10000 [17:55:00<18:35:09, 12.57s/it] 47%|████▋ | 4678/10000 [17:55:13<18:42:53, 12.66s/it] 47%|████▋ | 4679/10000 [17:55:24<18:12:29, 12.32s/it] 47%|████▋ | 4680/10000 [17:55:37<18:15:10, 12.35s/it] 47%|████▋ | 4681/10000 [17:55:49<18:06:16, 12.25s/it] 47%|████▋ | 4682/10000 [17:56:03<19:13:05, 13.01s/it] 47%|████▋ | 4683/10000 [17:56:15<18:30:07, 12.53s/it] 47%|████▋ | 4684/10000 [17:56:26<17:57:54, 12.17s/it] 47%|████▋ | 4685/10000 [17:56:41<19:02:57, 12.90s/it] 47%|████▋ | 4686/10000 [17:56:52<18:18:01, 12.40s/it] 47%|████▋ | 4687/10000 [17:57:05<18:24:10, 12.47s/it] 47%|████▋ | 4688/10000 [17:57:17<18:28:23, 12.52s/it] 47%|████▋ | 4689/10000 [17:57:28<17:43:58, 12.02s/it] 47%|████▋ | 4690/10000 [17:57:41<18:03:29, 12.24s/it] 47%|████▋ | 4691/10000 [17:57:52<17:30:19, 11.87s/it] 47%|████▋ | 4692/10000 [17:58:04<17:28:53, 11.86s/it] 47%|████▋ | 4693/10000 [17:58:15<17:10:38, 11.65s/it] 47%|████▋ | 4694/10000 [17:58:27<17:31:36, 11.89s/it] 47%|████▋ | 4695/10000 [17:58:39<17:22:56, 11.80s/it] 47%|████▋ | 4696/10000 [17:58:50<17:12:54, 11.68s/it] 47%|████▋ | 4697/10000 [17:59:02<17:08:23, 11.64s/it] 47%|████▋ | 4698/10000 [17:59:14<17:22:07, 11.79s/it] 47%|████▋ | 4699/10000 [17:59:25<17:03:34, 11.59s/it] 47%|████▋ | 4700/10000 [17:59:38<17:32:45, 11.92s/it] 47%|████▋ | 4700/10000 [17:59:38<17:32:45, 11.92s/it] 47%|████▋ | 4701/10000 [17:59:50<17:36:34, 11.96s/it] 47%|████▋ | 4702/10000 [18:00:01<17:20:55, 11.79s/it] 47%|████▋ | 4703/10000 [18:00:15<18:03:41, 12.28s/it] 47%|████▋ | 4704/10000 [18:00:27<18:04:39, 12.29s/it] 47%|████▋ | 4705/10000 [18:00:40<18:34:12, 12.63s/it] 47%|████▋ | 4706/10000 [18:00:52<17:57:53, 12.22s/it] 47%|████▋ | 4707/10000 [18:01:03<17:45:41, 12.08s/it] 47%|████▋ | 4708/10000 [18:01:15<17:24:14, 11.84s/it] 47%|████▋ | 4709/10000 [18:01:27<17:33:04, 11.94s/it] 47%|████▋ | 4710/10000 [18:01:39<17:31:40, 11.93s/it] 47%|████▋ | 4711/10000 [18:01:52<17:54:06, 12.18s/it] 47%|████▋ | 4712/10000 [18:02:04<18:08:49, 12.35s/it] 47%|████▋ | 4713/10000 [18:02:18<18:36:33, 12.67s/it] 47%|████▋ | 4714/10000 [18:02:30<18:34:39, 12.65s/it] 47%|████▋ | 4715/10000 [18:02:43<18:23:33, 12.53s/it] 47%|████▋ | 4716/10000 [18:02:55<18:20:26, 12.50s/it] 47%|████▋ | 4717/10000 [18:03:07<18:15:50, 12.45s/it] 47%|████▋ | 4718/10000 [18:03:20<18:18:50, 12.48s/it] 47%|████▋ | 4719/10000 [18:03:35<19:17:07, 13.15s/it] 47%|████▋ | 4720/10000 [18:03:46<18:31:07, 12.63s/it] 47%|████▋ | 4721/10000 [18:03:58<18:25:36, 12.57s/it] 47%|████▋ | 4722/10000 [18:04:10<17:49:15, 12.16s/it] 47%|████▋ | 4723/10000 [18:04:23<18:15:25, 12.46s/it] 47%|████▋ | 4724/10000 [18:04:35<18:20:34, 12.52s/it] 47%|████▋ | 4725/10000 [18:04:48<18:35:30, 12.69s/it] 47%|████▋ | 4725/10000 [18:04:48<18:35:30, 12.69s/it] 47%|████▋ | 4726/10000 [18:05:02<18:55:14, 12.92s/it] 47%|████▋ | 4727/10000 [18:05:14<18:26:00, 12.58s/it] 47%|████▋ | 4728/10000 [18:05:26<18:29:07, 12.62s/it] 47%|████▋ | 4729/10000 [18:05:38<18:07:15, 12.38s/it] 47%|████▋ | 4730/10000 [18:05:50<17:44:16, 12.12s/it] 47%|████▋ | 4731/10000 [18:06:03<18:18:03, 12.50s/it] 47%|████▋ | 4732/10000 [18:06:16<18:13:55, 12.46s/it] 47%|████▋ | 4733/10000 [18:06:28<18:03:09, 12.34s/it] 47%|████▋ | 4734/10000 [18:06:40<18:09:47, 12.42s/it] 47%|████▋ | 4735/10000 [18:06:52<17:55:56, 12.26s/it] 47%|████▋ | 4736/10000 [18:07:04<17:59:08, 12.30s/it] 47%|████▋ | 4737/10000 [18:07:16<17:44:30, 12.14s/it] 47%|████▋ | 4738/10000 [18:07:29<18:08:30, 12.41s/it] 47%|████▋ | 4739/10000 [18:07:41<18:02:03, 12.34s/it] 47%|████▋ | 4740/10000 [18:07:53<17:53:13, 12.24s/it] 47%|████▋ | 4741/10000 [18:08:06<18:08:50, 12.42s/it] 47%|████▋ | 4742/10000 [18:08:18<17:56:26, 12.28s/it] 47%|████▋ | 4743/10000 [18:08:31<17:57:45, 12.30s/it] 47%|████▋ | 4744/10000 [18:08:43<18:02:09, 12.35s/it] 47%|████▋ | 4745/10000 [18:08:55<18:01:13, 12.35s/it] 47%|████▋ | 4746/10000 [18:09:07<17:43:50, 12.15s/it] 47%|████▋ | 4747/10000 [18:09:19<17:46:05, 12.18s/it] 47%|████▋ | 4748/10000 [18:09:33<18:13:39, 12.49s/it] 47%|████▋ | 4749/10000 [18:09:44<17:50:45, 12.23s/it] 48%|████▊ | 4750/10000 [18:09:57<18:04:26, 12.39s/it] 48%|████▊ | 4750/10000 [18:09:57<18:04:26, 12.39s/it] 48%|████▊ | 4751/10000 [18:10:10<18:22:36, 12.60s/it] 48%|████▊ | 4752/10000 [18:10:22<18:03:08, 12.38s/it] 48%|████▊ | 4753/10000 [18:10:36<18:59:29, 13.03s/it] 48%|████▊ | 4754/10000 [18:10:48<18:28:16, 12.68s/it] 48%|████▊ | 4755/10000 [18:11:01<18:36:19, 12.77s/it] 48%|████▊ | 4756/10000 [18:11:13<18:04:37, 12.41s/it] 48%|████▊ | 4757/10000 [18:11:26<18:30:52, 12.71s/it] 48%|████▊ | 4758/10000 [18:11:39<18:21:20, 12.61s/it] 48%|████▊ | 4759/10000 [18:11:51<18:23:18, 12.63s/it] 48%|████▊ | 4760/10000 [18:12:03<18:04:31, 12.42s/it] 48%|████▊ | 4761/10000 [18:12:16<18:05:47, 12.44s/it] 48%|████▊ | 4762/10000 [18:12:28<17:58:09, 12.35s/it] 48%|████▊ | 4763/10000 [18:12:41<18:28:45, 12.70s/it] 48%|████▊ | 4764/10000 [18:12:55<18:45:21, 12.90s/it] 48%|████▊ | 4765/10000 [18:13:07<18:15:20, 12.55s/it] 48%|████▊ | 4766/10000 [18:13:20<18:33:52, 12.77s/it] 48%|████▊ | 4767/10000 [18:13:31<17:59:52, 12.38s/it] 48%|████▊ | 4768/10000 [18:13:43<17:54:34, 12.32s/it] 48%|████▊ | 4769/10000 [18:13:55<17:26:11, 12.00s/it] 48%|████▊ | 4770/10000 [18:14:07<17:40:47, 12.17s/it] 48%|████▊ | 4771/10000 [18:14:18<17:11:09, 11.83s/it] 48%|████▊ | 4772/10000 [18:14:30<17:17:23, 11.91s/it] 48%|████▊ | 4773/10000 [18:14:43<17:23:26, 11.98s/it] 48%|████▊ | 4774/10000 [18:14:55<17:27:04, 12.02s/it] 48%|████▊ | 4775/10000 [18:15:06<17:02:06, 11.74s/it] 48%|████▊ | 4775/10000 [18:15:06<17:02:06, 11.74s/it] 48%|████▊ | 4776/10000 [18:15:18<17:22:20, 11.97s/it] 48%|████▊ | 4777/10000 [18:15:29<17:00:27, 11.72s/it] 48%|████▊ | 4778/10000 [18:15:41<16:56:41, 11.68s/it] 48%|████▊ | 4779/10000 [18:15:52<16:35:21, 11.44s/it] 48%|████▊ | 4780/10000 [18:16:03<16:32:22, 11.41s/it] 48%|████▊ | 4781/10000 [18:16:14<16:21:01, 11.28s/it] 48%|████▊ | 4782/10000 [18:16:26<16:42:00, 11.52s/it] 48%|████▊ | 4783/10000 [18:16:38<16:49:23, 11.61s/it] 48%|████▊ | 4784/10000 [18:16:49<16:30:50, 11.40s/it] 48%|████▊ | 4785/10000 [18:17:02<17:08:16, 11.83s/it] 48%|████▊ | 4786/10000 [18:17:14<17:09:09, 11.84s/it] 48%|████▊ | 4787/10000 [18:17:25<17:01:58, 11.76s/it] 48%|████▊ | 4788/10000 [18:17:36<16:47:05, 11.59s/it] 48%|████▊ | 4789/10000 [18:17:48<16:32:57, 11.43s/it] 48%|████▊ | 4790/10000 [18:17:59<16:25:06, 11.34s/it] 48%|████▊ | 4791/10000 [18:18:09<16:04:48, 11.11s/it] 48%|████▊ | 4792/10000 [18:18:22<16:41:54, 11.54s/it] 48%|████▊ | 4793/10000 [18:18:33<16:44:54, 11.58s/it] 48%|████▊ | 4794/10000 [18:18:46<16:59:57, 11.76s/it] 48%|████▊ | 4795/10000 [18:19:00<17:58:24, 12.43s/it] 48%|████▊ | 4796/10000 [18:19:10<17:11:02, 11.89s/it] 48%|████▊ | 4797/10000 [18:19:22<17:01:49, 11.78s/it] 48%|████▊ | 4798/10000 [18:19:33<16:51:10, 11.66s/it] 48%|████▊ | 4799/10000 [18:19:45<17:02:11, 11.79s/it] 48%|████▊ | 4800/10000 [18:19:58<17:33:49, 12.16s/it] 48%|████▊ | 4800/10000 [18:19:58<17:33:49, 12.16s/it] 48%|████▊ | 4801/10000 [18:20:11<17:36:31, 12.19s/it] 48%|████▊ | 4802/10000 [18:20:23<17:51:35, 12.37s/it] 48%|████▊ | 4803/10000 [18:20:35<17:29:27, 12.12s/it] 48%|████▊ | 4804/10000 [18:20:46<17:12:14, 11.92s/it] 48%|████▊ | 4805/10000 [18:20:57<16:46:25, 11.62s/it] 48%|████▊ | 4806/10000 [18:21:10<17:11:57, 11.92s/it] 48%|████▊ | 4807/10000 [18:21:23<17:31:31, 12.15s/it] 48%|████▊ | 4808/10000 [18:21:35<17:39:29, 12.24s/it] 48%|████▊ | 4809/10000 [18:21:46<17:01:37, 11.81s/it] 48%|████▊ | 4810/10000 [18:21:58<16:58:40, 11.78s/it] 48%|████▊ | 4811/10000 [18:22:09<16:39:47, 11.56s/it] 48%|████▊ | 4812/10000 [18:22:21<16:54:07, 11.73s/it] 48%|████▊ | 4813/10000 [18:22:32<16:48:26, 11.66s/it] 48%|████▊ | 4814/10000 [18:22:45<17:05:57, 11.87s/it] 48%|████▊ | 4815/10000 [18:22:56<17:00:55, 11.81s/it] 48%|████▊ | 4816/10000 [18:23:08<17:07:05, 11.89s/it] 48%|████▊ | 4817/10000 [18:23:20<17:10:35, 11.93s/it] 48%|████▊ | 4818/10000 [18:23:33<17:20:15, 12.04s/it] 48%|████▊ | 4819/10000 [18:23:45<17:27:35, 12.13s/it] 48%|████▊ | 4820/10000 [18:23:57<17:33:20, 12.20s/it] 48%|████▊ | 4821/10000 [18:24:10<17:36:26, 12.24s/it] 48%|████▊ | 4822/10000 [18:24:21<17:22:44, 12.08s/it] 48%|████▊ | 4823/10000 [18:24:34<17:38:50, 12.27s/it] 48%|████▊ | 4824/10000 [18:24:46<17:29:00, 12.16s/it] 48%|████▊ | 4825/10000 [18:24:58<17:34:14, 12.22s/it] 48%|████▊ | 4825/10000 [18:24:58<17:34:14, 12.22s/it] 48%|████▊ | 4826/10000 [18:25:11<17:32:20, 12.20s/it] 48%|████▊ | 4827/10000 [18:25:23<17:30:02, 12.18s/it] 48%|████▊ | 4828/10000 [18:25:36<17:54:08, 12.46s/it] 48%|████▊ | 4829/10000 [18:25:49<18:01:42, 12.55s/it] 48%|████▊ | 4830/10000 [18:26:00<17:43:05, 12.34s/it] 48%|████▊ | 4831/10000 [18:26:13<17:40:38, 12.31s/it] 48%|████▊ | 4832/10000 [18:26:25<17:33:31, 12.23s/it] 48%|████▊ | 4833/10000 [18:26:37<17:35:55, 12.26s/it] 48%|████▊ | 4834/10000 [18:26:48<17:14:02, 12.01s/it] 48%|████▊ | 4835/10000 [18:27:01<17:20:38, 12.09s/it] 48%|████▊ | 4836/10000 [18:27:12<17:09:21, 11.96s/it] 48%|████▊ | 4837/10000 [18:27:26<17:40:54, 12.33s/it] 48%|████▊ | 4838/10000 [18:27:38<17:38:08, 12.30s/it] 48%|████▊ | 4839/10000 [18:27:50<17:29:57, 12.21s/it] 48%|████▊ | 4840/10000 [18:28:03<17:52:06, 12.47s/it] 48%|████▊ | 4841/10000 [18:28:15<17:50:54, 12.45s/it] 48%|████▊ | 4842/10000 [18:28:28<17:49:21, 12.44s/it] 48%|████▊ | 4843/10000 [18:28:40<17:40:44, 12.34s/it] 48%|████▊ | 4844/10000 [18:28:52<17:47:10, 12.42s/it] 48%|████▊ | 4845/10000 [18:29:04<17:38:18, 12.32s/it] 48%|████▊ | 4846/10000 [18:29:17<17:51:50, 12.48s/it] 48%|████▊ | 4847/10000 [18:29:31<18:16:25, 12.77s/it] 48%|████▊ | 4848/10000 [18:29:44<18:27:42, 12.90s/it] 48%|████▊ | 4849/10000 [18:29:56<18:03:42, 12.62s/it] 48%|████▊ | 4850/10000 [18:30:08<17:52:18, 12.49s/it] 48%|████▊ | 4850/10000 [18:30:08<17:52:18, 12.49s/it] 49%|████▊ | 4851/10000 [18:30:21<17:59:13, 12.58s/it] 49%|████▊ | 4852/10000 [18:30:33<17:40:59, 12.37s/it] 49%|████▊ | 4853/10000 [18:30:46<18:06:36, 12.67s/it] 49%|████▊ | 4854/10000 [18:30:59<18:09:08, 12.70s/it] 49%|████▊ | 4855/10000 [18:31:11<17:41:50, 12.38s/it] 49%|████▊ | 4856/10000 [18:31:22<17:27:08, 12.21s/it] 49%|████▊ | 4857/10000 [18:31:35<17:47:34, 12.45s/it] 49%|████▊ | 4858/10000 [18:31:48<18:03:05, 12.64s/it] 49%|████▊ | 4859/10000 [18:32:01<17:49:47, 12.49s/it] 49%|████▊ | 4860/10000 [18:32:14<18:14:14, 12.77s/it] 49%|████▊ | 4861/10000 [18:32:27<18:11:25, 12.74s/it] 49%|████▊ | 4862/10000 [18:32:39<17:49:06, 12.48s/it] 49%|████▊ | 4863/10000 [18:32:53<18:30:16, 12.97s/it] 49%|████▊ | 4864/10000 [18:33:04<17:51:47, 12.52s/it] 49%|████▊ | 4865/10000 [18:33:17<17:51:11, 12.52s/it] 49%|████▊ | 4866/10000 [18:33:29<17:40:25, 12.39s/it] 49%|████▊ | 4867/10000 [18:33:43<18:37:53, 13.07s/it] 49%|████▊ | 4868/10000 [18:33:55<18:12:24, 12.77s/it] 49%|████▊ | 4869/10000 [18:34:08<18:17:17, 12.83s/it] 49%|████▊ | 4870/10000 [18:34:21<18:09:14, 12.74s/it] 49%|████▊ | 4871/10000 [18:34:34<18:11:02, 12.76s/it] 49%|████▊ | 4872/10000 [18:34:45<17:28:00, 12.26s/it] 49%|████▊ | 4873/10000 [18:34:56<16:54:24, 11.87s/it] 49%|████▊ | 4874/10000 [18:35:09<17:18:49, 12.16s/it] 49%|████▉ | 4875/10000 [18:35:21<17:30:52, 12.30s/it] 49%|████▉ | 4875/10000 [18:35:21<17:30:52, 12.30s/it] 49%|████▉ | 4876/10000 [18:35:33<17:24:55, 12.24s/it] 49%|████▉ | 4877/10000 [18:35:44<16:49:00, 11.82s/it] 49%|████▉ | 4878/10000 [18:35:57<17:03:15, 11.99s/it] 49%|████▉ | 4879/10000 [18:36:09<17:12:50, 12.10s/it] 49%|████▉ | 4880/10000 [18:36:22<17:32:02, 12.33s/it] 49%|████▉ | 4881/10000 [18:36:34<17:21:54, 12.21s/it] 49%|████▉ | 4882/10000 [18:36:46<17:14:55, 12.13s/it] 49%|████▉ | 4883/10000 [18:36:57<16:44:39, 11.78s/it] 49%|████▉ | 4884/10000 [18:37:08<16:31:38, 11.63s/it] 49%|████▉ | 4885/10000 [18:37:19<16:27:48, 11.59s/it] 49%|████▉ | 4886/10000 [18:37:31<16:29:46, 11.61s/it] 49%|████▉ | 4887/10000 [18:37:45<17:18:18, 12.18s/it] 49%|████▉ | 4888/10000 [18:37:56<17:04:11, 12.02s/it] 49%|████▉ | 4889/10000 [18:38:09<17:21:23, 12.23s/it] 49%|████▉ | 4890/10000 [18:38:21<17:12:03, 12.12s/it] 49%|████▉ | 4891/10000 [18:38:34<17:33:16, 12.37s/it] 49%|████▉ | 4892/10000 [18:38:45<17:08:05, 12.08s/it] 49%|████▉ | 4893/10000 [18:38:56<16:46:18, 11.82s/it] 49%|████▉ | 4894/10000 [18:39:11<17:43:54, 12.50s/it] 49%|████▉ | 4895/10000 [18:39:22<17:17:51, 12.20s/it] 49%|████▉ | 4896/10000 [18:39:33<16:50:33, 11.88s/it] 49%|████▉ | 4897/10000 [18:39:47<17:28:16, 12.33s/it] 49%|████▉ | 4898/10000 [18:39:58<17:09:49, 12.11s/it] 49%|████▉ | 4899/10000 [18:40:10<17:01:20, 12.01s/it] 49%|████▉ | 4900/10000 [18:40:21<16:36:19, 11.72s/it] 49%|████▉ | 4900/10000 [18:40:21<16:36:19, 11.72s/it] 49%|████▉ | 4901/10000 [18:40:32<16:30:36, 11.66s/it] 49%|████▉ | 4902/10000 [18:40:44<16:20:08, 11.54s/it] 49%|████▉ | 4903/10000 [18:40:55<16:12:24, 11.45s/it] 49%|████▉ | 4904/10000 [18:41:08<16:51:54, 11.91s/it] 49%|████▉ | 4905/10000 [18:41:21<17:26:17, 12.32s/it] 49%|████▉ | 4906/10000 [18:41:34<17:31:53, 12.39s/it] 49%|████▉ | 4907/10000 [18:41:46<17:26:07, 12.32s/it] 49%|████▉ | 4908/10000 [18:41:58<17:08:20, 12.12s/it] 49%|████▉ | 4909/10000 [18:42:08<16:24:22, 11.60s/it] 49%|████▉ | 4910/10000 [18:42:19<16:13:29, 11.48s/it] 49%|████▉ | 4911/10000 [18:42:31<16:16:53, 11.52s/it] 49%|████▉ | 4912/10000 [18:42:43<16:41:12, 11.81s/it] 49%|████▉ | 4913/10000 [18:42:55<16:36:12, 11.75s/it] 49%|████▉ | 4914/10000 [18:43:06<16:15:37, 11.51s/it] 49%|████▉ | 4915/10000 [18:43:20<17:13:33, 12.20s/it] 49%|████▉ | 4916/10000 [18:43:31<16:52:14, 11.95s/it] 49%|████▉ | 4917/10000 [18:43:42<16:36:34, 11.76s/it] 49%|████▉ | 4918/10000 [18:43:56<17:20:58, 12.29s/it] 49%|████▉ | 4919/10000 [18:44:08<17:20:55, 12.29s/it] 49%|████▉ | 4920/10000 [18:44:19<16:51:45, 11.95s/it] 49%|████▉ | 4921/10000 [18:44:32<17:05:16, 12.11s/it] 49%|████▉ | 4922/10000 [18:44:43<16:37:36, 11.79s/it] 49%|████▉ | 4923/10000 [18:44:55<16:40:28, 11.82s/it] 49%|████▉ | 4924/10000 [18:45:07<16:52:36, 11.97s/it] 49%|████▉ | 4925/10000 [18:45:18<16:35:45, 11.77s/it] 49%|████▉ | 4925/10000 [18:45:18<16:35:45, 11.77s/it] 49%|████▉ | 4926/10000 [18:45:31<16:49:46, 11.94s/it] 49%|████▉ | 4927/10000 [18:45:42<16:41:35, 11.85s/it] 49%|████▉ | 4928/10000 [18:45:55<16:50:23, 11.95s/it] 49%|████▉ | 4929/10000 [18:46:07<17:06:58, 12.15s/it] 49%|████▉ | 4930/10000 [18:46:18<16:33:02, 11.75s/it] 49%|████▉ | 4931/10000 [18:46:29<16:19:57, 11.60s/it] 49%|████▉ | 4932/10000 [18:46:40<16:08:17, 11.46s/it] 49%|████▉ | 4933/10000 [18:46:51<15:45:24, 11.19s/it] 49%|████▉ | 4934/10000 [18:47:02<15:48:35, 11.23s/it] 49%|████▉ | 4935/10000 [18:47:15<16:19:15, 11.60s/it] 49%|████▉ | 4936/10000 [18:47:28<16:55:09, 12.03s/it] 49%|████▉ | 4937/10000 [18:47:39<16:30:36, 11.74s/it] 49%|████▉ | 4938/10000 [18:47:50<16:21:23, 11.63s/it] 49%|████▉ | 4939/10000 [18:48:02<16:29:10, 11.73s/it] 49%|████▉ | 4940/10000 [18:48:14<16:39:04, 11.85s/it] 49%|████▉ | 4941/10000 [18:48:25<16:23:34, 11.67s/it] 49%|████▉ | 4942/10000 [18:48:39<17:03:14, 12.14s/it] 49%|████▉ | 4943/10000 [18:48:52<17:22:51, 12.37s/it] 49%|████▉ | 4944/10000 [18:49:03<16:57:07, 12.07s/it] 49%|████▉ | 4945/10000 [18:49:15<16:48:46, 11.97s/it] 49%|████▉ | 4946/10000 [18:49:27<17:01:14, 12.12s/it] 49%|████▉ | 4947/10000 [18:49:38<16:34:57, 11.81s/it] 49%|████▉ | 4948/10000 [18:49:51<17:00:48, 12.12s/it] 49%|████▉ | 4949/10000 [18:50:03<16:55:28, 12.06s/it] 50%|████▉ | 4950/10000 [18:50:14<16:28:18, 11.74s/it] 50%|████▉ | 4950/10000 [18:50:14<16:28:18, 11.74s/it] 50%|████▉ | 4951/10000 [18:50:26<16:34:09, 11.81s/it] 50%|████▉ | 4952/10000 [18:50:38<16:31:44, 11.79s/it] 50%|████▉ | 4953/10000 [18:50:49<16:11:38, 11.55s/it] 50%|████▉ | 4954/10000 [18:51:00<15:53:20, 11.34s/it] 50%|████▉ | 4955/10000 [18:51:11<15:57:18, 11.39s/it] 50%|████▉ | 4956/10000 [18:51:25<16:59:10, 12.12s/it] 50%|████▉ | 4957/10000 [18:51:36<16:42:25, 11.93s/it] 50%|████▉ | 4958/10000 [18:51:48<16:32:16, 11.81s/it] 50%|████▉ | 4959/10000 [18:52:00<16:37:57, 11.88s/it] 50%|████▉ | 4960/10000 [18:52:12<16:36:27, 11.86s/it] 50%|████▉ | 4961/10000 [18:52:23<16:29:13, 11.78s/it] 50%|████▉ | 4962/10000 [18:52:38<17:41:01, 12.64s/it] 50%|████▉ | 4963/10000 [18:52:51<17:45:21, 12.69s/it] 50%|████▉ | 4964/10000 [18:53:03<17:26:40, 12.47s/it] 50%|████▉ | 4965/10000 [18:53:15<17:17:29, 12.36s/it] 50%|████▉ | 4966/10000 [18:53:27<17:11:52, 12.30s/it] 50%|████▉ | 4967/10000 [18:53:39<17:03:52, 12.21s/it] 50%|████▉ | 4968/10000 [18:53:52<17:29:01, 12.51s/it] 50%|████▉ | 4969/10000 [18:54:05<17:41:29, 12.66s/it] 50%|████▉ | 4970/10000 [18:54:17<17:26:36, 12.48s/it] 50%|████▉ | 4971/10000 [18:54:30<17:23:52, 12.45s/it] 50%|████▉ | 4972/10000 [18:54:42<17:30:15, 12.53s/it] 50%|████▉ | 4973/10000 [18:54:54<17:07:58, 12.27s/it] 50%|████▉ | 4974/10000 [18:55:07<17:11:58, 12.32s/it] 50%|████▉ | 4975/10000 [18:55:18<17:00:48, 12.19s/it] 50%|████▉ | 4975/10000 [18:55:18<17:00:48, 12.19s/it] 50%|████▉ | 4976/10000 [18:55:31<17:08:53, 12.29s/it] 50%|████▉ | 4977/10000 [18:55:43<17:00:07, 12.19s/it] 50%|████▉ | 4978/10000 [18:55:56<17:18:26, 12.41s/it] 50%|████▉ | 4979/10000 [18:56:07<16:52:41, 12.10s/it] 50%|████▉ | 4980/10000 [18:56:19<16:48:45, 12.06s/it] 50%|████▉ | 4981/10000 [18:56:31<16:49:49, 12.07s/it] 50%|████▉ | 4982/10000 [18:56:43<16:50:35, 12.08s/it] 50%|████▉ | 4983/10000 [18:56:57<17:20:29, 12.44s/it] 50%|████▉ | 4984/10000 [18:57:08<16:54:49, 12.14s/it] 50%|████▉ | 4985/10000 [18:57:20<16:50:27, 12.09s/it] 50%|████▉ | 4986/10000 [18:57:32<16:40:16, 11.97s/it] 50%|████▉ | 4987/10000 [18:57:44<16:49:58, 12.09s/it] 50%|████▉ | 4988/10000 [18:57:57<17:13:08, 12.37s/it] 50%|████▉ | 4989/10000 [18:58:09<17:00:52, 12.22s/it] 50%|████▉ | 4990/10000 [18:58:21<16:45:21, 12.04s/it] 50%|████▉ | 4991/10000 [18:58:33<16:46:46, 12.06s/it] 50%|████▉ | 4992/10000 [18:58:48<18:14:04, 13.11s/it] 50%|████▉ | 4993/10000 [18:59:01<17:52:30, 12.85s/it] 50%|████▉ | 4994/10000 [18:59:12<17:28:34, 12.57s/it] 50%|████▉ | 4995/10000 [18:59:27<18:10:47, 13.08s/it] 50%|████▉ | 4996/10000 [18:59:39<17:46:21, 12.79s/it] 50%|████▉ | 4997/10000 [18:59:51<17:24:13, 12.52s/it] 50%|████▉ | 4998/10000 [19:00:02<16:57:28, 12.20s/it] 50%|████▉ | 4999/10000 [19:00:15<17:09:33, 12.35s/it] 50%|█████ | 5000/10000 [19:00:27<17:06:14, 12.31s/it] 50%|█████ | 5000/10000 [19:00:27<17:06:14, 12.31s/it][INFO|trainer.py:2955] 2022-12-17 10:28:08,007 >> ***** Running Evaluation ***** [INFO|trainer.py:2959] 2022-12-17 10:28:08,008 >> Num examples: Unknown [INFO|trainer.py:2960] 2022-12-17 10:28:08,008 >> Batch size = 32 [INFO|trainer_utils.py:689] 2022-12-17 10:28:11,122 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length, speaker_id, duration, gender, age. If input_length, speaker_id, duration, gender, age are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. 50%|█████ | 5000/10000 [19:13:26<17:06:14, 12.31s/it][INFO|trainer.py:2700] 2022-12-17 10:41:07,072 >> Saving model checkpoint to ./checkpoint-5000 [INFO|configuration_utils.py:447] 2022-12-17 10:41:07,073 >> Configuration saved in ./checkpoint-5000/config.json [INFO|modeling_utils.py:1680] 2022-12-17 10:41:10,433 >> Model weights saved in ./checkpoint-5000/pytorch_model.bin [INFO|feature_extraction_utils.py:368] 2022-12-17 10:41:10,451 >> Feature extractor saved in ./checkpoint-5000/preprocessor_config.json [INFO|feature_extraction_utils.py:368] 2022-12-17 10:41:22,801 >> Feature extractor saved in ./preprocessor_config.json 50%|█████ | 5001/10000 [19:15:49<395:58:02, 285.15s/it] 50%|█████ | 5002/10000 [19:16:02<282:23:39, 203.41s/it] 50%|█████ | 5003/10000 [19:16:13<202:27:43, 145.86s/it] 50%|█████ | 5004/10000 [19:16:26<147:02:12, 105.95s/it] 50%|█████ | 5005/10000 [19:16:39<108:30:23, 78.20s/it] 50%|█████ | 5006/10000 [19:16:52<81:09:08, 58.50s/it] 50%|█████ | 5007/10000 [19:17:04<61:50:07, 44.58s/it] 50%|█████ | 5008/10000 [19:17:18<49:10:04, 35.46s/it] 50%|█████ | 5009/10000 [19:17:31<39:40:47, 28.62s/it] 50%|█████ | 5010/10000 [19:17:43<32:54:28, 23.74s/it] 50%|█████ | 5011/10000 [19:17:56<28:12:48, 20.36s/it] 50%|█████ | 5012/10000 [19:18:08<24:43:29, 17.84s/it] 50%|█████ | 5013/10000 [19:18:20<22:27:46, 16.22s/it] 50%|█████ | 5014/10000 [19:18:32<20:36:40, 14.88s/it] 50%|█████ | 5015/10000 [19:18:46<20:08:00, 14.54s/it] 50%|█████ | 5016/10000 [19:18:58<19:14:50, 13.90s/it] 50%|█████ | 5017/10000 [19:19:11<18:39:49, 13.48s/it] 50%|█████ | 5018/10000 [19:19:23<18:04:29, 13.06s/it] 50%|█████ | 5019/10000 [19:19:35<17:35:51, 12.72s/it] 50%|█████ | 5020/10000 [19:19:48<17:50:33, 12.90s/it] 50%|█████ | 5021/10000 [19:20:00<17:30:30, 12.66s/it] 50%|█████ | 5022/10000 [19:20:13<17:28:34, 12.64s/it] 50%|█████ | 5023/10000 [19:20:25<17:20:37, 12.55s/it] 50%|█████ | 5024/10000 [19:20:38<17:41:28, 12.80s/it] 50%|█████ | 5025/10000 [19:20:50<17:05:27, 12.37s/it] 50%|█████ | 5025/10000 [19:20:50<17:05:27, 12.37s/it] 50%|█████ | 5026/10000 [19:21:04<17:51:01, 12.92s/it] 50%|█████ | 5027/10000 [19:21:15<17:13:47, 12.47s/it] 50%|█████ | 5028/10000 [19:21:30<18:03:01, 13.07s/it] 50%|█████ | 5029/10000 [19:21:41<17:22:14, 12.58s/it] 50%|█████ | 5030/10000 [19:21:56<18:16:41, 13.24s/it] 50%|█████ | 5031/10000 [19:22:08<17:52:25, 12.95s/it] 50%|█████ | 5032/10000 [19:22:21<17:55:45, 12.99s/it] 50%|█████ | 5033/10000 [19:22:34<17:42:23, 12.83s/it] 50%|█████ | 5034/10000 [19:22:46<17:29:39, 12.68s/it] 50%|█████ | 5035/10000 [19:22:59<17:40:40, 12.82s/it] 50%|█████ | 5036/10000 [19:23:12<17:47:53, 12.91s/it] 50%|█████ | 5037/10000 [19:23:25<17:37:44, 12.79s/it] 50%|█████ | 5038/10000 [19:23:38<17:47:42, 12.91s/it] 50%|█████ | 5039/10000 [19:23:50<17:31:32, 12.72s/it] 50%|█████ | 5040/10000 [19:24:04<17:45:22, 12.89s/it] 50%|█████ | 5041/10000 [19:24:15<17:11:19, 12.48s/it] 50%|█████ | 5042/10000 [19:24:29<17:39:17, 12.82s/it] 50%|█████ | 5043/10000 [19:24:40<17:02:14, 12.37s/it] 50%|█████ | 5044/10000 [19:24:53<17:09:42, 12.47s/it] 50%|█████ | 5045/10000 [19:25:05<16:54:36, 12.29s/it] 50%|█████ | 5046/10000 [19:25:16<16:19:34, 11.86s/it] 50%|█████ | 5047/10000 [19:25:29<16:49:35, 12.23s/it] 50%|█████ | 5048/10000 [19:25:40<16:26:32, 11.95s/it] 50%|█████ | 5049/10000 [19:25:53<16:53:20, 12.28s/it] 50%|█████ | 5050/10000 [19:26:05<16:57:10, 12.33s/it] 50%|█████ | 5050/10000 [19:26:05<16:57:10, 12.33s/it] 51%|█████ | 5051/10000 [19:26:17<16:50:06, 12.25s/it] 51%|█████ | 5052/10000 [19:26:31<17:14:31, 12.54s/it] 51%|█████ | 5053/10000 [19:26:43<17:10:44, 12.50s/it] 51%|█████ | 5054/10000 [19:26:55<16:57:17, 12.34s/it] 51%|█████ | 5055/10000 [19:27:07<16:58:13, 12.35s/it] 51%|█████ | 5056/10000 [19:27:22<17:50:15, 12.99s/it] 51%|█████ | 5057/10000 [19:27:33<17:11:13, 12.52s/it] 51%|█████ | 5058/10000 [19:27:45<17:00:25, 12.39s/it] 51%|█████ | 5059/10000 [19:27:57<16:47:32, 12.23s/it] 51%|█████ | 5060/10000 [19:28:11<17:24:30, 12.69s/it] 51%|█████ | 5061/10000 [19:28:23<17:09:41, 12.51s/it] 51%|█████ | 5062/10000 [19:28:35<17:02:35, 12.43s/it] 51%|█████ | 5063/10000 [19:28:46<16:26:07, 11.98s/it] 51%|█████ | 5064/10000 [19:28:59<16:31:49, 12.06s/it] 51%|█████ | 5065/10000 [19:29:12<17:07:06, 12.49s/it] 51%|█████ | 5066/10000 [19:29:24<16:54:03, 12.33s/it] 51%|█████ | 5067/10000 [19:29:37<16:58:21, 12.39s/it] 51%|█████ | 5068/10000 [19:29:49<16:50:15, 12.29s/it] 51%|█████ | 5069/10000 [19:30:02<17:15:26, 12.60s/it] 51%|█████ | 5070/10000 [19:30:13<16:33:14, 12.09s/it] 51%|█████ | 5071/10000 [19:30:25<16:26:23, 12.01s/it] 51%|█████ | 5072/10000 [19:30:36<16:05:52, 11.76s/it] 51%|█████ | 5073/10000 [19:30:47<15:57:49, 11.66s/it] 51%|█████ | 5074/10000 [19:31:00<16:14:33, 11.87s/it] 51%|█████ | 5075/10000 [19:31:11<16:05:30, 11.76s/it] 51%|█████ | 5075/10000 [19:31:11<16:05:30, 11.76s/it] 51%|█████ | 5076/10000 [19:31:23<16:09:34, 11.81s/it] 51%|█████ | 5077/10000 [19:31:35<16:20:28, 11.95s/it] 51%|█████ | 5078/10000 [19:31:47<16:07:38, 11.80s/it] 51%|█████ | 5079/10000 [19:31:59<16:18:33, 11.93s/it] 51%|█████ | 5080/10000 [19:32:11<16:14:08, 11.88s/it] 51%|█████ | 5081/10000 [19:32:22<15:53:30, 11.63s/it] 51%|█████ | 5082/10000 [19:32:35<16:29:07, 12.07s/it] 51%|█████ | 5083/10000 [19:32:46<16:11:36, 11.86s/it] 51%|█████ | 5084/10000 [19:32:58<16:16:08, 11.91s/it] 51%|█████ | 5085/10000 [19:33:11<16:40:59, 12.22s/it] 51%|█████ | 5086/10000 [19:33:23<16:19:10, 11.96s/it] 51%|█████ | 5087/10000 [19:33:35<16:33:25, 12.13s/it] 51%|█████ | 5088/10000 [19:33:47<16:30:01, 12.09s/it] 51%|█████ | 5089/10000 [19:33:59<16:21:10, 11.99s/it] 51%|█████ | 5090/10000 [19:34:11<16:25:59, 12.05s/it] 51%|█████ | 5091/10000 [19:34:22<15:55:29, 11.68s/it] 51%|█████ | 5092/10000 [19:34:35<16:36:01, 12.18s/it] 51%|█████ | 5093/10000 [19:34:46<16:03:25, 11.78s/it] 51%|█████ | 5094/10000 [19:34:58<15:57:43, 11.71s/it] 51%|█████ | 5095/10000 [19:35:08<15:34:25, 11.43s/it] 51%|█████ | 5096/10000 [19:35:22<16:16:36, 11.95s/it] 51%|█████ | 5097/10000 [19:35:33<16:02:22, 11.78s/it] 51%|█████ | 5098/10000 [19:35:45<16:19:54, 11.99s/it] 51%|█████ | 5099/10000 [19:35:57<15:59:58, 11.75s/it] 51%|█████ | 5100/10000 [19:36:08<15:57:07, 11.72s/it] 51%|█████ | 5100/10000 [19:36:08<15:57:07, 11.72s/it] 51%|█████ | 5101/10000 [19:36:20<16:08:35, 11.86s/it] 51%|█████ | 5102/10000 [19:36:32<15:57:21, 11.73s/it] 51%|█████ | 5103/10000 [19:36:44<16:01:48, 11.78s/it] 51%|█████ | 5104/10000 [19:36:56<16:15:45, 11.96s/it] 51%|█████ | 5105/10000 [19:37:07<15:59:48, 11.76s/it] 51%|█████ | 5106/10000 [19:37:19<15:42:55, 11.56s/it] 51%|█████ | 5107/10000 [19:37:31<16:05:06, 11.83s/it] 51%|█████ | 5108/10000 [19:37:42<15:43:01, 11.57s/it] 51%|█████ | 5109/10000 [19:37:55<16:12:57, 11.94s/it] 51%|█████ | 5110/10000 [19:38:08<16:43:50, 12.32s/it] 51%|█████ | 5111/10000 [19:38:20<16:24:24, 12.08s/it] 51%|█████ | 5112/10000 [19:38:31<16:21:54, 12.05s/it] 51%|█████ | 5113/10000 [19:38:45<16:51:38, 12.42s/it] 51%|█████ | 5114/10000 [19:38:56<16:30:12, 12.16s/it] 51%|█████ | 5115/10000 [19:39:09<16:31:52, 12.18s/it] 51%|█████ | 5116/10000 [19:39:21<16:29:49, 12.16s/it] 51%|█████ | 5117/10000 [19:39:34<16:53:07, 12.45s/it] 51%|█████ | 5118/10000 [19:39:45<16:26:00, 12.12s/it] 51%|█████ | 5119/10000 [19:40:01<18:09:05, 13.39s/it] 51%|█████ | 5120/10000 [19:40:14<17:39:51, 13.03s/it] 51%|█████ | 5121/10000 [19:40:25<16:54:15, 12.47s/it] 51%|█████ | 5122/10000 [19:40:39<17:29:44, 12.91s/it] 51%|█████ | 5123/10000 [19:40:50<16:49:59, 12.43s/it] 51%|█████ | 5124/10000 [19:41:03<17:03:30, 12.59s/it] 51%|█████▏ | 5125/10000 [19:41:15<16:38:43, 12.29s/it] 51%|█████▏ | 5125/10000 [19:41:15<16:38:43, 12.29s/it] 51%|█████▏ | 5126/10000 [19:41:28<17:12:47, 12.71s/it] 51%|█████▏ | 5127/10000 [19:41:40<16:50:35, 12.44s/it] 51%|█████▏ | 5128/10000 [19:41:52<16:35:08, 12.26s/it] 51%|█████▏ | 5129/10000 [19:42:04<16:28:07, 12.17s/it] 51%|█████▏ | 5130/10000 [19:42:17<16:48:21, 12.42s/it] 51%|█████▏ | 5131/10000 [19:42:28<16:09:30, 11.95s/it] 51%|█████▏ | 5132/10000 [19:42:40<16:26:44, 12.16s/it] 51%|█████▏ | 5133/10000 [19:42:54<17:07:05, 12.66s/it] 51%|█████▏ | 5134/10000 [19:43:06<16:51:21, 12.47s/it] 51%|█████▏ | 5135/10000 [19:43:19<16:45:35, 12.40s/it] 51%|█████▏ | 5136/10000 [19:43:31<16:56:07, 12.53s/it] 51%|█████▏ | 5137/10000 [19:43:44<16:53:00, 12.50s/it] 51%|█████▏ | 5138/10000 [19:43:56<16:41:10, 12.36s/it] 51%|█████▏ | 5139/10000 [19:44:07<16:13:12, 12.01s/it] 51%|█████▏ | 5140/10000 [19:44:19<16:16:00, 12.05s/it] 51%|█████▏ | 5141/10000 [19:44:31<16:10:44, 11.99s/it] 51%|█████▏ | 5142/10000 [19:44:43<16:17:15, 12.07s/it] 51%|█████▏ | 5143/10000 [19:44:57<16:47:27, 12.45s/it] 51%|█████▏ | 5144/10000 [19:45:10<17:04:02, 12.65s/it] 51%|█████▏ | 5145/10000 [19:45:23<17:12:27, 12.76s/it] 51%|█████▏ | 5146/10000 [19:45:36<17:15:13, 12.80s/it] 51%|█████▏ | 5147/10000 [19:45:47<16:49:49, 12.49s/it] 51%|█████▏ | 5148/10000 [19:46:00<17:04:15, 12.67s/it] 51%|█████▏ | 5149/10000 [19:46:13<16:59:19, 12.61s/it] 52%|█████▏ | 5150/10000 [19:46:26<17:00:08, 12.62s/it] 52%|█████▏ | 5150/10000 [19:46:26<17:00:08, 12.62s/it] 52%|█████▏ | 5151/10000 [19:46:39<17:27:24, 12.96s/it] 52%|█████▏ | 5152/10000 [19:46:53<17:33:04, 13.03s/it] 52%|█████▏ | 5153/10000 [19:47:06<17:48:15, 13.22s/it] 52%|█████▏ | 5154/10000 [19:47:21<18:20:46, 13.63s/it] 52%|█████▏ | 5155/10000 [19:47:33<17:50:12, 13.25s/it] 52%|█████▏ | 5156/10000 [19:47:47<18:10:15, 13.50s/it] 52%|█████▏ | 5157/10000 [19:47:59<17:22:33, 12.92s/it] 52%|█████▏ | 5158/10000 [19:48:12<17:30:22, 13.02s/it] 52%|█████▏ | 5159/10000 [19:48:24<16:59:14, 12.63s/it] 52%|█████▏ | 5160/10000 [19:48:38<17:25:04, 12.96s/it] 52%|█████▏ | 5161/10000 [19:48:49<16:49:13, 12.51s/it] 52%|█████▏ | 5162/10000 [19:49:02<17:11:24, 12.79s/it] 52%|█████▏ | 5163/10000 [19:49:15<17:06:30, 12.73s/it] 52%|█████▏ | 5164/10000 [19:49:27<16:45:31, 12.48s/it] 52%|█████▏ | 5165/10000 [19:49:41<17:20:43, 12.91s/it] 52%|█████▏ | 5166/10000 [19:49:53<17:07:20, 12.75s/it] 52%|█████▏ | 5167/10000 [19:50:05<16:39:53, 12.41s/it] 52%|█████▏ | 5168/10000 [19:50:17<16:40:50, 12.43s/it] 52%|█████▏ | 5169/10000 [19:50:31<17:07:35, 12.76s/it] 52%|█████▏ | 5170/10000 [19:50:43<16:43:29, 12.47s/it] 52%|█████▏ | 5171/10000 [19:50:56<17:12:59, 12.83s/it] 52%|█████▏ | 5172/10000 [19:51:10<17:38:54, 13.16s/it] 52%|█████▏ | 5173/10000 [19:51:23<17:32:20, 13.08s/it] 52%|█████▏ | 5174/10000 [19:51:36<17:15:50, 12.88s/it] 52%|█████▏ | 5175/10000 [19:51:48<17:12:14, 12.84s/it] {'loss': 0.183, 'learning_rate': 7.76421052631579e-06, 'epoch': 0.26} {'loss': 0.1743, 'learning_rate': 7.737894736842105e-06, 'epoch': 0.27} {'loss': 0.1594, 'learning_rate': 7.711578947368422e-06, 'epoch': 0.27} {'loss': 0.1651, 'learning_rate': 7.685263157894739e-06, 'epoch': 0.27} {'loss': 0.172, 'learning_rate': 7.658947368421054e-06, 'epoch': 0.27} {'loss': 0.1772, 'learning_rate': 7.632631578947369e-06, 'epoch': 0.28} {'loss': 0.1816, 'learning_rate': 7.606315789473685e-06, 'epoch': 0.28} {'loss': 0.1911, 'learning_rate': 7.58e-06, 'epoch': 0.28} {'loss': 0.1955, 'learning_rate': 7.553684210526316e-06, 'epoch': 0.28} {'loss': 0.1852, 'learning_rate': 7.527368421052632e-06, 'epoch': 0.28} {'loss': 0.2042, 'learning_rate': 7.501052631578948e-06, 'epoch': 0.29} {'loss': 0.1951, 'learning_rate': 7.4747368421052635e-06, 'epoch': 0.29} {'loss': 0.1992, 'learning_rate': 7.448421052631579e-06, 'epoch': 0.29} {'loss': 0.182, 'learning_rate': 7.422105263157895e-06, 'epoch': 0.29} {'loss': 0.1865, 'learning_rate': 7.395789473684211e-06, 'epoch': 0.3} {'loss': 0.1913, 'learning_rate': 7.369473684210528e-06, 'epoch': 0.3} {'eval_loss': 0.17776602506637573, 'eval_wer': 12.741894948479517, 'eval_runtime': 767.3594, 'eval_samples_per_second': 1.303, 'eval_steps_per_second': 0.042, 'epoch': 0.3} {'loss': 0.1729, 'learning_rate': 7.3431578947368435e-06, 'epoch': 0.3} {'loss': 0.1663, 'learning_rate': 7.3168421052631585e-06, 'epoch': 0.3} {'loss': 0.1684, 'learning_rate': 7.290526315789474e-06, 'epoch': 0.31} {'loss': 0.1549, 'learning_rate': 7.26421052631579e-06, 'epoch': 0.31} {'loss': 0.166, 'learning_rate': 7.237894736842106e-06, 'epoch': 0.31} {'loss': 0.1661, 'learning_rate': 7.211578947368422e-06, 'epoch': 0.32} {'loss': 0.1503, 'learning_rate': 7.1852631578947375e-06, 'epoch': 0.32} {'loss': 0.1734, 'learning_rate': 7.158947368421053e-06, 'epoch': 0.32} {'loss': 0.1836, 'learning_rate': 7.132631578947369e-06, 'epoch': 0.32} {'loss': 0.1581, 'learning_rate': 7.106315789473684e-06, 'epoch': 0.33} {'loss': 0.1844, 'learning_rate': 7.08e-06, 'epoch': 0.33} {'loss': 0.1687, 'learning_rate': 7.053684210526316e-06, 'epoch': 0.33} {'loss': 0.1633, 'learning_rate': 7.027368421052632e-06, 'epoch': 0.33} {'loss': 0.1604, 'learning_rate': 7.001052631578948e-06, 'epoch': 0.34} {'loss': 0.163, 'learning_rate': 6.974736842105264e-06, 'epoch': 0.34} {'loss': 0.1549, 'learning_rate': 6.94842105263158e-06, 'epoch': 0.34} {'loss': 0.1547, 'learning_rate': 6.922105263157896e-06, 'epoch': 0.34} {'loss': 0.1659, 'learning_rate': 6.8957894736842116e-06, 'epoch': 0.34} {'loss': 0.1647, 'learning_rate': 6.869473684210527e-06, 'epoch': 0.35} {'loss': 0.1404, 'learning_rate': 6.843157894736842e-06, 'epoch': 0.35} {'eval_loss': 0.1732291281223297, 'eval_wer': 12.08846443830108, 'eval_runtime': 784.2076, 'eval_samples_per_second': 1.275, 'eval_steps_per_second': 0.041, 'epoch': 0.35} {'loss': 0.1468, 'learning_rate': 6.816842105263158e-06, 'epoch': 0.35} {'loss': 0.1482, 'learning_rate': 6.790526315789474e-06, 'epoch': 0.35} {'loss': 0.1364, 'learning_rate': 6.76421052631579e-06, 'epoch': 0.36} {'loss': 0.1367, 'learning_rate': 6.737894736842106e-06, 'epoch': 0.36} {'loss': 0.1534, 'learning_rate': 6.7115789473684214e-06, 'epoch': 0.36} {'loss': 0.1308, 'learning_rate': 6.685263157894737e-06, 'epoch': 0.36} {'loss': 0.134, 'learning_rate': 6.658947368421054e-06, 'epoch': 0.37} {'loss': 0.1316, 'learning_rate': 6.63263157894737e-06, 'epoch': 0.37} {'loss': 0.131, 'learning_rate': 6.606315789473685e-06, 'epoch': 0.37} {'loss': 0.1447, 'learning_rate': 6.5800000000000005e-06, 'epoch': 0.38} {'loss': 0.1614, 'learning_rate': 6.553684210526316e-06, 'epoch': 0.38} {'loss': 0.1824, 'learning_rate': 6.527368421052632e-06, 'epoch': 0.38} {'loss': 0.1505, 'learning_rate': 6.501052631578948e-06, 'epoch': 0.38} {'loss': 0.1438, 'learning_rate': 6.474736842105264e-06, 'epoch': 0.39} {'loss': 0.15, 'learning_rate': 6.44842105263158e-06, 'epoch': 0.39} {'loss': 0.1375, 'learning_rate': 6.4221052631578954e-06, 'epoch': 0.39} {'loss': 0.1538, 'learning_rate': 6.39578947368421e-06, 'epoch': 0.39} {'loss': 0.1731, 'learning_rate': 6.369473684210526e-06, 'epoch': 0.4} {'loss': 0.1605, 'learning_rate': 6.343157894736842e-06, 'epoch': 0.4} {'loss': 0.1781, 'learning_rate': 6.316842105263158e-06, 'epoch': 0.4} {'eval_loss': 0.16699349880218506, 'eval_wer': 11.812013068610204, 'eval_runtime': 884.9536, 'eval_samples_per_second': 1.13, 'eval_steps_per_second': 0.036, 'epoch': 0.4} {'loss': 0.2082, 'learning_rate': 6.2905263157894745e-06, 'epoch': 0.4} {'loss': 0.1569, 'learning_rate': 6.26421052631579e-06, 'epoch': 0.41} {'loss': 0.1572, 'learning_rate': 6.237894736842106e-06, 'epoch': 0.41} {'loss': 0.1628, 'learning_rate': 6.211578947368422e-06, 'epoch': 0.41} {'loss': 0.1533, 'learning_rate': 6.185263157894738e-06, 'epoch': 0.41} {'loss': 0.167, 'learning_rate': 6.158947368421054e-06, 'epoch': 0.41} {'loss': 0.146, 'learning_rate': 6.132631578947369e-06, 'epoch': 0.42} {'loss': 0.1743, 'learning_rate': 6.106315789473684e-06, 'epoch': 0.42} {'loss': 0.1515, 'learning_rate': 6.08e-06, 'epoch': 0.42} {'loss': 0.1487, 'learning_rate': 6.053684210526316e-06, 'epoch': 0.42} {'loss': 0.1488, 'learning_rate': 6.027368421052632e-06, 'epoch': 0.43} {'loss': 0.1349, 'learning_rate': 6.001052631578948e-06, 'epoch': 0.43} {'loss': 0.1329, 'learning_rate': 5.9747368421052635e-06, 'epoch': 0.43} {'loss': 0.1358, 'learning_rate': 5.94842105263158e-06, 'epoch': 0.43} {'loss': 0.1356, 'learning_rate': 5.922105263157896e-06, 'epoch': 0.44} {'loss': 0.1481, 'learning_rate': 5.895789473684212e-06, 'epoch': 0.44} {'loss': 0.1399, 'learning_rate': 5.869473684210527e-06, 'epoch': 0.44} {'loss': 0.1751, 'learning_rate': 5.843157894736843e-06, 'epoch': 0.45} {'loss': 0.1283, 'learning_rate': 5.816842105263158e-06, 'epoch': 0.45} {'loss': 0.1236, 'learning_rate': 5.790526315789474e-06, 'epoch': 0.45} {'eval_loss': 0.16302767395973206, 'eval_wer': 11.120884644383011, 'eval_runtime': 771.3462, 'eval_samples_per_second': 1.296, 'eval_steps_per_second': 0.041, 'epoch': 0.45} {'loss': 0.1151, 'learning_rate': 5.76421052631579e-06, 'epoch': 0.45} {'loss': 0.1323, 'learning_rate': 5.737894736842106e-06, 'epoch': 0.46} {'loss': 0.1279, 'learning_rate': 5.711578947368422e-06, 'epoch': 0.46} {'loss': 0.121, 'learning_rate': 5.685263157894737e-06, 'epoch': 0.46} {'loss': 0.1436, 'learning_rate': 5.6589473684210525e-06, 'epoch': 0.46} {'loss': 0.1232, 'learning_rate': 5.632631578947368e-06, 'epoch': 0.47} {'loss': 0.114, 'learning_rate': 5.606315789473684e-06, 'epoch': 0.47} {'loss': 0.1068, 'learning_rate': 5.580000000000001e-06, 'epoch': 0.47} {'loss': 0.1139, 'learning_rate': 5.553684210526317e-06, 'epoch': 0.47} {'loss': 0.1124, 'learning_rate': 5.527368421052632e-06, 'epoch': 0.47} {'loss': 0.118, 'learning_rate': 5.501052631578948e-06, 'epoch': 0.48} {'loss': 0.1455, 'learning_rate': 5.474736842105264e-06, 'epoch': 0.48} {'loss': 0.1295, 'learning_rate': 5.44842105263158e-06, 'epoch': 0.48} {'loss': 0.1056, 'learning_rate': 5.422105263157895e-06, 'epoch': 0.48} {'loss': 0.1157, 'learning_rate': 5.395789473684211e-06, 'epoch': 0.49} {'loss': 0.1187, 'learning_rate': 5.3694736842105265e-06, 'epoch': 0.49} {'loss': 0.1162, 'learning_rate': 5.343157894736842e-06, 'epoch': 0.49} {'loss': 0.108, 'learning_rate': 5.316842105263158e-06, 'epoch': 0.49} {'loss': 0.1081, 'learning_rate': 5.290526315789474e-06, 'epoch': 0.5} {'loss': 0.1146, 'learning_rate': 5.26421052631579e-06, 'epoch': 0.5} {'eval_loss': 0.1600838005542755, 'eval_wer': 11.686353355114349, 'eval_runtime': 779.0631, 'eval_samples_per_second': 1.284, 'eval_steps_per_second': 0.041, 'epoch': 0.5} {'loss': 0.1189, 'learning_rate': 5.237894736842105e-06, 'epoch': 0.5} {'loss': 0.1062, 'learning_rate': 5.211578947368422e-06, 'epoch': 0.51} {'loss': 0.1139, 'learning_rate': 5.186315789473685e-06, 'epoch': 0.51} {'loss': 0.1061, 'learning_rate': 5.1600000000000006e-06, 'epoch': 0.51} {'loss': 0.1236, 'learning_rate': 5.133684210526316e-06, 'epoch': 0.51} {'loss': 0.0993, 'learning_rate': 5.107368421052632e-06, 'epoch': 0.52} 52%|█████▏ | 5175/10000 [19:51:48<17:12:14, 12.84s/it] 52%|█████▏ | 5176/10000 [19:52:00<16:43:05, 12.48s/it] 52%|█████▏ | 5177/10000 [19:52:12<16:37:41, 12.41s/it] 52%|█████▏ | 5178/10000 [19:52:28<17:49:28, 13.31s/it] 52%|█████▏ | 5179/10000 [19:52:39<17:14:35, 12.88s/it] 52%|█████▏ | 5180/10000 [19:52:51<16:40:43, 12.46s/it] 52%|█████▏ | 5181/10000 [19:53:02<15:59:08, 11.94s/it] 52%|█████▏ | 5182/10000 [19:53:14<16:02:11, 11.98s/it] 52%|█████▏ | 5183/10000 [19:53:25<15:53:29, 11.88s/it] 52%|█████▏ | 5184/10000 [19:53:38<16:07:51, 12.06s/it] 52%|█████▏ | 5185/10000 [19:53:49<15:52:15, 11.87s/it] 52%|█████▏ | 5186/10000 [19:54:02<16:18:07, 12.19s/it] 52%|█████▏ | 5187/10000 [19:54:14<16:19:34, 12.21s/it] 52%|█████▏ | 5188/10000 [19:54:26<15:51:16, 11.86s/it] 52%|█████▏ | 5189/10000 [19:54:38<16:08:40, 12.08s/it] 52%|█████▏ | 5190/10000 [19:54:50<16:09:30, 12.09s/it] 52%|█████▏ | 5191/10000 [19:55:04<16:55:20, 12.67s/it] 52%|█████▏ | 5192/10000 [19:55:17<16:46:47, 12.56s/it] 52%|█████▏ | 5193/10000 [19:55:28<16:18:59, 12.22s/it] 52%|█████▏ | 5194/10000 [19:55:39<15:56:36, 11.94s/it] 52%|█████▏ | 5195/10000 [19:55:51<15:59:36, 11.98s/it] 52%|█████▏ | 5196/10000 [19:56:02<15:35:47, 11.69s/it] 52%|█████▏ | 5197/10000 [19:56:14<15:34:51, 11.68s/it] 52%|█████▏ | 5198/10000 [19:56:25<15:25:21, 11.56s/it] 52%|█████▏ | 5199/10000 [19:56:38<15:47:48, 11.85s/it] 52%|█████▏ | 5200/10000 [19:56:50<15:44:58, 11.81s/it] 52%|█████▏ | 5200/10000 [19:56:50<15:44:58, 11.81s/it] 52%|█████▏ | 5201/10000 [19:57:05<17:01:27, 12.77s/it] 52%|█████▏ | 5202/10000 [19:57:16<16:31:27, 12.40s/it] 52%|█████▏ | 5203/10000 [19:57:30<16:58:18, 12.74s/it] 52%|█████▏ | 5204/10000 [19:57:42<16:48:39, 12.62s/it] 52%|█████▏ | 5205/10000 [19:57:54<16:27:59, 12.36s/it] 52%|█████▏ | 5206/10000 [19:58:06<16:17:20, 12.23s/it] 52%|█████▏ | 5207/10000 [19:58:20<16:57:16, 12.73s/it] 52%|█████▏ | 5208/10000 [19:58:30<16:12:42, 12.18s/it] 52%|█████▏ | 5209/10000 [19:58:42<16:06:55, 12.11s/it] 52%|█████▏ | 5210/10000 [19:58:54<15:53:30, 11.94s/it] 52%|█████▏ | 5211/10000 [19:59:05<15:36:34, 11.73s/it] 52%|█████▏ | 5212/10000 [19:59:18<15:58:59, 12.02s/it] 52%|█████▏ | 5213/10000 [19:59:30<16:03:54, 12.08s/it] 52%|█████▏ | 5214/10000 [19:59:42<15:48:12, 11.89s/it] 52%|█████▏ | 5215/10000 [19:59:54<15:54:02, 11.96s/it] 52%|█████▏ | 5216/10000 [20:00:07<16:33:33, 12.46s/it] 52%|█████▏ | 5217/10000 [20:00:18<15:52:10, 11.94s/it] 52%|█████▏ | 5218/10000 [20:00:30<16:01:37, 12.07s/it] 52%|█████▏ | 5219/10000 [20:00:43<16:21:53, 12.32s/it] 52%|█████▏ | 5220/10000 [20:00:55<16:05:26, 12.12s/it] 52%|█████▏ | 5221/10000 [20:01:07<16:13:30, 12.22s/it] 52%|█████▏ | 5222/10000 [20:01:20<16:10:46, 12.19s/it] 52%|█████▏ | 5223/10000 [20:01:32<16:08:13, 12.16s/it] 52%|█████▏ | 5224/10000 [20:01:44<16:06:49, 12.15s/it] 52%|█████▏ | 5225/10000 [20:01:58<16:49:35, 12.69s/it] 52%|█████▏ | 5225/10000 [20:01:58<16:49:35, 12.69s/it] 52%|█████▏ | 5226/10000 [20:02:09<16:25:42, 12.39s/it] 52%|█████▏ | 5227/10000 [20:02:21<16:06:06, 12.14s/it] 52%|█████▏ | 5228/10000 [20:02:33<16:09:35, 12.19s/it] 52%|█████▏ | 5229/10000 [20:02:45<15:50:01, 11.95s/it] 52%|█████▏ | 5230/10000 [20:02:56<15:45:51, 11.90s/it] 52%|█████▏ | 5231/10000 [20:03:08<15:41:10, 11.84s/it] 52%|█████▏ | 5232/10000 [20:03:22<16:25:21, 12.40s/it] 52%|█████▏ | 5233/10000 [20:03:36<17:19:07, 13.08s/it] 52%|█████▏ | 5234/10000 [20:03:48<16:39:01, 12.58s/it] 52%|█████▏ | 5235/10000 [20:03:59<16:04:35, 12.15s/it] 52%|█████▏ | 5236/10000 [20:04:11<16:11:09, 12.23s/it] 52%|█████▏ | 5237/10000 [20:04:23<15:43:26, 11.88s/it] 52%|█████▏ | 5238/10000 [20:04:35<16:03:10, 12.14s/it] 52%|█████▏ | 5239/10000 [20:04:47<15:50:32, 11.98s/it] 52%|█████▏ | 5240/10000 [20:04:58<15:39:29, 11.84s/it] 52%|█████▏ | 5241/10000 [20:05:13<16:34:18, 12.54s/it] 52%|█████▏ | 5242/10000 [20:05:24<16:16:54, 12.32s/it] 52%|█████▏ | 5243/10000 [20:05:37<16:18:27, 12.34s/it] 52%|█████▏ | 5244/10000 [20:05:49<16:13:32, 12.28s/it] 52%|█████▏ | 5245/10000 [20:06:02<16:26:42, 12.45s/it] 52%|█████▏ | 5246/10000 [20:06:14<16:28:19, 12.47s/it] 52%|█████▏ | 5247/10000 [20:06:28<16:50:13, 12.75s/it] 52%|█████▏ | 5248/10000 [20:06:40<16:33:23, 12.54s/it] 52%|█████▏ | 5249/10000 [20:06:53<16:40:00, 12.63s/it] 52%|█████▎ | 5250/10000 [20:07:05<16:37:24, 12.60s/it] 52%|█████▎ | 5250/10000 [20:07:05<16:37:24, 12.60s/it] 53%|█████▎ | 5251/10000 [20:07:17<16:31:01, 12.52s/it] 53%|█████▎ | 5252/10000 [20:07:30<16:27:40, 12.48s/it] 53%|█████▎ | 5253/10000 [20:07:42<16:23:29, 12.43s/it] 53%|█████▎ | 5254/10000 [20:07:54<16:16:50, 12.35s/it] 53%|█████▎ | 5255/10000 [20:08:07<16:21:48, 12.41s/it] 53%|█████▎ | 5256/10000 [20:08:20<16:31:40, 12.54s/it] 53%|█████▎ | 5257/10000 [20:08:33<16:56:24, 12.86s/it] 53%|█████▎ | 5258/10000 [20:08:45<16:29:23, 12.52s/it] 53%|█████▎ | 5259/10000 [20:08:57<16:15:31, 12.35s/it] 53%|█████▎ | 5260/10000 [20:09:08<15:54:15, 12.08s/it] 53%|█████▎ | 5261/10000 [20:09:21<16:10:47, 12.29s/it] 53%|█████▎ | 5262/10000 [20:09:33<15:57:06, 12.12s/it] 53%|█████▎ | 5263/10000 [20:09:45<15:58:46, 12.14s/it] 53%|█████▎ | 5264/10000 [20:09:57<15:55:56, 12.11s/it] 53%|█████▎ | 5265/10000 [20:10:10<16:16:41, 12.38s/it] 53%|█████▎ | 5266/10000 [20:10:22<16:09:17, 12.29s/it] 53%|█████▎ | 5267/10000 [20:10:33<15:36:34, 11.87s/it] 53%|█████▎ | 5268/10000 [20:10:45<15:30:36, 11.80s/it] 53%|█████▎ | 5269/10000 [20:10:55<15:03:08, 11.45s/it] 53%|█████▎ | 5270/10000 [20:11:07<15:13:13, 11.58s/it] 53%|█████▎ | 5271/10000 [20:11:19<15:16:41, 11.63s/it] 53%|█████▎ | 5272/10000 [20:11:30<15:00:11, 11.42s/it] 53%|█████▎ | 5273/10000 [20:11:42<15:10:18, 11.55s/it] 53%|█████▎ | 5274/10000 [20:11:53<15:05:32, 11.50s/it] 53%|█████▎ | 5275/10000 [20:12:07<15:55:30, 12.13s/it] 53%|█████▎ | 5275/10000 [20:12:07<15:55:30, 12.13s/it] 53%|█████▎ | 5276/10000 [20:12:18<15:43:48, 11.99s/it] 53%|█████▎ | 5277/10000 [20:12:30<15:38:24, 11.92s/it] 53%|█████▎ | 5278/10000 [20:12:42<15:26:48, 11.78s/it] 53%|█████▎ | 5279/10000 [20:12:53<15:07:46, 11.54s/it] 53%|█████▎ | 5280/10000 [20:13:04<15:02:33, 11.47s/it] 53%|█████▎ | 5281/10000 [20:13:15<14:59:22, 11.44s/it] 53%|█████▎ | 5282/10000 [20:13:28<15:34:33, 11.89s/it] 53%|█████▎ | 5283/10000 [20:13:40<15:35:11, 11.90s/it] 53%|█████▎ | 5284/10000 [20:13:53<15:46:48, 12.05s/it] 53%|█████▎ | 5285/10000 [20:14:05<15:53:30, 12.13s/it] 53%|█████▎ | 5286/10000 [20:14:16<15:36:41, 11.92s/it] 53%|█████▎ | 5287/10000 [20:14:28<15:37:56, 11.94s/it] 53%|█████▎ | 5288/10000 [20:14:40<15:22:40, 11.75s/it] 53%|█████▎ | 5289/10000 [20:14:52<15:44:45, 12.03s/it] 53%|█████▎ | 5290/10000 [20:15:05<15:53:54, 12.15s/it] 53%|█████▎ | 5291/10000 [20:15:16<15:37:45, 11.95s/it] 53%|█████▎ | 5292/10000 [20:15:30<16:26:16, 12.57s/it] 53%|█████▎ | 5293/10000 [20:15:41<15:46:02, 12.06s/it] 53%|█████▎ | 5294/10000 [20:15:53<15:34:05, 11.91s/it] 53%|█████▎ | 5295/10000 [20:16:05<15:40:32, 11.99s/it] 53%|█████▎ | 5296/10000 [20:16:17<15:49:54, 12.12s/it] 53%|█████▎ | 5297/10000 [20:16:28<15:19:27, 11.73s/it] 53%|█████▎ | 5298/10000 [20:16:39<15:11:51, 11.64s/it] 53%|█████▎ | 5299/10000 [20:16:51<15:00:14, 11.49s/it] 53%|█████▎ | 5300/10000 [20:17:03<15:16:40, 11.70s/it] 53%|█████▎ | 5300/10000 [20:17:03<15:16:40, 11.70s/it] 53%|█████▎ | 5301/10000 [20:17:15<15:32:20, 11.90s/it] 53%|█████▎ | 5302/10000 [20:17:27<15:26:39, 11.83s/it] 53%|█████▎ | 5303/10000 [20:17:40<15:58:17, 12.24s/it] 53%|█████▎ | 5304/10000 [20:17:52<15:50:00, 12.14s/it] 53%|█████▎ | 5305/10000 [20:18:03<15:25:21, 11.83s/it] 53%|█████▎ | 5306/10000 [20:18:15<15:18:08, 11.74s/it] 53%|█████▎ | 5307/10000 [20:18:28<16:07:00, 12.36s/it] 53%|█████▎ | 5308/10000 [20:18:39<15:29:26, 11.89s/it] 53%|█████▎ | 5309/10000 [20:18:51<15:36:04, 11.97s/it] 53%|█████▎ | 5310/10000 [20:19:02<15:09:57, 11.64s/it] 53%|█████▎ | 5311/10000 [20:19:14<15:17:23, 11.74s/it] 53%|█████▎ | 5312/10000 [20:19:28<16:07:56, 12.39s/it] 53%|█████▎ | 5313/10000 [20:19:43<16:56:14, 13.01s/it] 53%|█████▎ | 5314/10000 [20:19:55<16:35:40, 12.75s/it] 53%|█████▎ | 5315/10000 [20:20:06<15:51:41, 12.19s/it] 53%|█████▎ | 5316/10000 [20:20:19<16:23:23, 12.60s/it] 53%|█████▎ | 5317/10000 [20:20:31<16:00:44, 12.31s/it] 53%|█████▎ | 5318/10000 [20:20:44<16:26:59, 12.65s/it] 53%|█████▎ | 5319/10000 [20:20:56<16:17:34, 12.53s/it] 53%|█████▎ | 5320/10000 [20:21:10<16:28:56, 12.68s/it] 53%|█████▎ | 5321/10000 [20:21:23<16:39:09, 12.81s/it] 53%|█████▎ | 5322/10000 [20:21:35<16:25:40, 12.64s/it] 53%|█████▎ | 5323/10000 [20:21:47<16:08:00, 12.42s/it] 53%|█████▎ | 5324/10000 [20:21:59<16:04:33, 12.38s/it] 53%|█████▎ | 5325/10000 [20:22:11<15:55:49, 12.27s/it] 53%|█████▎ | 5325/10000 [20:22:11<15:55:49, 12.27s/it] 53%|█████▎ | 5326/10000 [20:22:24<16:02:06, 12.35s/it] 53%|█████▎ | 5327/10000 [20:22:35<15:50:58, 12.21s/it] 53%|█████▎ | 5328/10000 [20:22:48<15:48:14, 12.18s/it] 53%|█████▎ | 5329/10000 [20:23:01<16:27:07, 12.68s/it] 53%|█████▎ | 5330/10000 [20:23:14<16:13:32, 12.51s/it] 53%|█████▎ | 5331/10000 [20:23:26<16:03:15, 12.38s/it] 53%|█████▎ | 5332/10000 [20:23:38<15:55:16, 12.28s/it] 53%|█████▎ | 5333/10000 [20:23:49<15:40:00, 12.08s/it] 53%|█████▎ | 5334/10000 [20:24:02<15:43:01, 12.13s/it] 53%|█████▎ | 5335/10000 [20:24:13<15:27:50, 11.93s/it] 53%|█████▎ | 5336/10000 [20:24:26<15:49:11, 12.21s/it] 53%|█████▎ | 5337/10000 [20:24:40<16:26:29, 12.69s/it] 53%|█████▎ | 5338/10000 [20:24:52<16:15:13, 12.55s/it] 53%|█████▎ | 5339/10000 [20:25:04<16:01:24, 12.38s/it] 53%|█████▎ | 5340/10000 [20:25:15<15:40:35, 12.11s/it] 53%|█████▎ | 5341/10000 [20:25:29<16:06:17, 12.44s/it] 53%|█████▎ | 5342/10000 [20:25:41<16:06:12, 12.45s/it] 53%|█████▎ | 5343/10000 [20:25:54<16:07:19, 12.46s/it] 53%|█████▎ | 5344/10000 [20:26:06<16:17:43, 12.60s/it] 53%|█████▎ | 5345/10000 [20:26:18<15:57:25, 12.34s/it] 53%|█████▎ | 5346/10000 [20:26:32<16:36:10, 12.84s/it] 53%|█████▎ | 5347/10000 [20:26:45<16:26:36, 12.72s/it] 53%|█████▎ | 5348/10000 [20:26:57<16:12:34, 12.54s/it] 53%|█████▎ | 5349/10000 [20:27:09<16:05:26, 12.45s/it] 54%|█████▎ | 5350/10000 [20:27:22<16:10:40, 12.52s/it] 54%|█████▎ | 5350/10000 [20:27:22<16:10:40, 12.52s/it] 54%|█████▎ | 5351/10000 [20:27:33<15:43:42, 12.18s/it] 54%|█████▎ | 5352/10000 [20:27:46<15:49:51, 12.26s/it] 54%|█████▎ | 5353/10000 [20:27:57<15:38:52, 12.12s/it] 54%|█████▎ | 5354/10000 [20:28:10<15:56:11, 12.35s/it] 54%|█████▎ | 5355/10000 [20:28:23<16:01:37, 12.42s/it] 54%|█████▎ | 5356/10000 [20:28:35<16:00:45, 12.41s/it] 54%|█████▎ | 5357/10000 [20:28:48<16:09:50, 12.53s/it] 54%|█████▎ | 5358/10000 [20:28:59<15:42:57, 12.19s/it] 54%|█████▎ | 5359/10000 [20:29:12<15:49:21, 12.27s/it] 54%|█████▎ | 5360/10000 [20:29:24<15:50:13, 12.29s/it] 54%|█████▎ | 5361/10000 [20:29:37<16:03:27, 12.46s/it] 54%|█████▎ | 5362/10000 [20:29:49<15:59:06, 12.41s/it] 54%|█████▎ | 5363/10000 [20:30:02<16:10:13, 12.55s/it] 54%|█████▎ | 5364/10000 [20:30:16<16:37:28, 12.91s/it] 54%|█████▎ | 5365/10000 [20:30:28<16:18:18, 12.66s/it] 54%|█████▎ | 5366/10000 [20:30:39<15:38:52, 12.16s/it] 54%|█████▎ | 5367/10000 [20:30:51<15:39:15, 12.16s/it] 54%|█████▎ | 5368/10000 [20:31:02<15:07:08, 11.75s/it] 54%|█████▎ | 5369/10000 [20:31:14<15:22:25, 11.95s/it] 54%|█████▎ | 5370/10000 [20:31:25<14:54:17, 11.59s/it] 54%|█████▎ | 5371/10000 [20:31:37<15:10:24, 11.80s/it] 54%|█████▎ | 5372/10000 [20:31:49<15:10:51, 11.81s/it] 54%|█████▎ | 5373/10000 [20:32:02<15:39:21, 12.18s/it] 54%|█████▎ | 5374/10000 [20:32:15<15:39:56, 12.19s/it] 54%|█████▍ | 5375/10000 [20:32:26<15:15:03, 11.87s/it] 54%|█████▍ | 5375/10000 [20:32:26<15:15:03, 11.87s/it] 54%|█████▍ | 5376/10000 [20:32:38<15:28:02, 12.04s/it] 54%|█████▍ | 5377/10000 [20:32:50<15:16:57, 11.90s/it] 54%|█████▍ | 5378/10000 [20:33:02<15:27:14, 12.04s/it] 54%|█████▍ | 5379/10000 [20:33:16<16:17:22, 12.69s/it] 54%|█████▍ | 5380/10000 [20:33:27<15:37:36, 12.18s/it] 54%|█████▍ | 5381/10000 [20:33:39<15:25:21, 12.02s/it] 54%|█████▍ | 5382/10000 [20:33:52<15:50:53, 12.35s/it] 54%|█████▍ | 5383/10000 [20:34:03<15:28:36, 12.07s/it] 54%|█████▍ | 5384/10000 [20:34:16<15:30:16, 12.09s/it] 54%|█████▍ | 5385/10000 [20:34:28<15:37:16, 12.19s/it] 54%|█████▍ | 5386/10000 [20:34:39<15:09:35, 11.83s/it] 54%|█████▍ | 5387/10000 [20:34:51<15:09:59, 11.84s/it] 54%|█████▍ | 5388/10000 [20:35:03<15:14:08, 11.89s/it] 54%|█████▍ | 5389/10000 [20:35:16<15:33:40, 12.15s/it] 54%|█████▍ | 5390/10000 [20:35:28<15:37:23, 12.20s/it] 54%|█████▍ | 5391/10000 [20:35:39<15:15:55, 11.92s/it] 54%|█████▍ | 5392/10000 [20:35:53<15:50:19, 12.37s/it] 54%|█████▍ | 5393/10000 [20:36:04<15:27:31, 12.08s/it] 54%|█████▍ | 5394/10000 [20:36:15<15:10:53, 11.87s/it] 54%|█████▍ | 5395/10000 [20:36:28<15:34:02, 12.17s/it] 54%|█████▍ | 5396/10000 [20:36:40<15:13:33, 11.91s/it] 54%|█████▍ | 5397/10000 [20:36:51<15:04:53, 11.80s/it] 54%|█████▍ | 5398/10000 [20:37:04<15:34:50, 12.19s/it] 54%|█████▍ | 5399/10000 [20:37:16<15:28:36, 12.11s/it] 54%|█████▍ | 5400/10000 [20:37:28<15:32:52, 12.17s/it] 54%|█████▍ | 5400/10000 [20:37:28<15:32:52, 12.17s/it] 54%|█████▍ | 5401/10000 [20:37:40<15:25:57, 12.08s/it] 54%|█████▍ | 5402/10000 [20:37:52<15:19:18, 12.00s/it] 54%|█████▍ | 5403/10000 [20:38:04<15:23:20, 12.05s/it] 54%|█████▍ | 5404/10000 [20:38:17<15:34:26, 12.20s/it] 54%|█████▍ | 5405/10000 [20:38:29<15:27:23, 12.11s/it] 54%|█████▍ | 5406/10000 [20:38:41<15:27:12, 12.11s/it] 54%|█████▍ | 5407/10000 [20:38:53<15:30:40, 12.16s/it] 54%|█████▍ | 5408/10000 [20:39:07<16:09:56, 12.67s/it] 54%|█████▍ | 5409/10000 [20:39:19<15:45:28, 12.36s/it] 54%|█████▍ | 5410/10000 [20:39:31<15:43:27, 12.33s/it] 54%|█████▍ | 5411/10000 [20:39:43<15:33:55, 12.21s/it] 54%|█████▍ | 5412/10000 [20:39:55<15:31:44, 12.18s/it] 54%|█████▍ | 5413/10000 [20:40:08<15:44:12, 12.35s/it] 54%|█████▍ | 5414/10000 [20:40:20<15:35:03, 12.23s/it] 54%|█████▍ | 5415/10000 [20:40:32<15:39:24, 12.29s/it] 54%|█████▍ | 5416/10000 [20:40:45<15:44:54, 12.37s/it] 54%|█████▍ | 5417/10000 [20:40:57<15:34:25, 12.23s/it] 54%|█████▍ | 5418/10000 [20:41:09<15:30:33, 12.19s/it] 54%|█████▍ | 5419/10000 [20:41:21<15:35:24, 12.25s/it] 54%|█████▍ | 5420/10000 [20:41:35<16:08:49, 12.69s/it] 54%|█████▍ | 5421/10000 [20:41:47<15:53:25, 12.49s/it] 54%|█████▍ | 5422/10000 [20:42:00<16:01:08, 12.60s/it] 54%|█████▍ | 5423/10000 [20:42:11<15:38:06, 12.30s/it] 54%|█████▍ | 5424/10000 [20:42:23<15:31:10, 12.21s/it] 54%|█████▍ | 5425/10000 [20:42:35<15:15:52, 12.01s/it] 54%|█████▍ | 5425/10000 [20:42:35<15:15:52, 12.01s/it] 54%|█████▍ | 5426/10000 [20:42:47<15:20:44, 12.08s/it] 54%|█████▍ | 5427/10000 [20:42:59<15:27:00, 12.16s/it] 54%|█████▍ | 5428/10000 [20:43:12<15:42:25, 12.37s/it] 54%|█████▍ | 5429/10000 [20:43:24<15:28:29, 12.19s/it] 54%|█████▍ | 5430/10000 [20:43:36<15:17:26, 12.05s/it] 54%|█████▍ | 5431/10000 [20:43:48<15:20:12, 12.08s/it] 54%|█████▍ | 5432/10000 [20:44:01<15:43:39, 12.39s/it] 54%|█████▍ | 5433/10000 [20:44:14<15:48:35, 12.46s/it] 54%|█████▍ | 5434/10000 [20:44:27<16:15:00, 12.81s/it] 54%|█████▍ | 5435/10000 [20:44:38<15:37:43, 12.33s/it] 54%|█████▍ | 5436/10000 [20:44:51<15:32:51, 12.26s/it] 54%|█████▍ | 5437/10000 [20:45:03<15:33:28, 12.27s/it] 54%|█████▍ | 5438/10000 [20:45:15<15:27:52, 12.20s/it] 54%|█████▍ | 5439/10000 [20:45:29<16:03:41, 12.68s/it] 54%|█████▍ | 5440/10000 [20:45:41<16:05:42, 12.71s/it] 54%|█████▍ | 5441/10000 [20:45:53<15:44:08, 12.43s/it] 54%|█████▍ | 5442/10000 [20:46:05<15:29:50, 12.24s/it] 54%|█████▍ | 5443/10000 [20:46:18<15:39:29, 12.37s/it] 54%|█████▍ | 5444/10000 [20:46:30<15:31:35, 12.27s/it] 54%|█████▍ | 5445/10000 [20:46:42<15:39:15, 12.37s/it] 54%|█████▍ | 5446/10000 [20:46:55<15:53:09, 12.56s/it] 54%|█████▍ | 5447/10000 [20:47:09<16:08:47, 12.77s/it] 54%|█████▍ | 5448/10000 [20:47:20<15:40:08, 12.39s/it] 54%|█████▍ | 5449/10000 [20:47:33<15:52:55, 12.56s/it] 55%|█████▍ | 5450/10000 [20:47:45<15:41:53, 12.42s/it] 55%|█████▍ | 5450/10000 [20:47:45<15:41:53, 12.42s/it] 55%|█████▍ | 5451/10000 [20:47:57<15:26:48, 12.22s/it] 55%|█████▍ | 5452/10000 [20:48:10<15:45:24, 12.47s/it] 55%|█████▍ | 5453/10000 [20:48:23<15:49:05, 12.52s/it] 55%|█████▍ | 5454/10000 [20:48:34<15:30:30, 12.28s/it] 55%|█████▍ | 5455/10000 [20:48:47<15:36:51, 12.37s/it] 55%|█████▍ | 5456/10000 [20:49:00<15:54:05, 12.60s/it] 55%|█████▍ | 5457/10000 [20:49:12<15:50:43, 12.56s/it] 55%|█████▍ | 5458/10000 [20:49:25<15:45:51, 12.49s/it] 55%|█████▍ | 5459/10000 [20:49:37<15:37:40, 12.39s/it] 55%|█████▍ | 5460/10000 [20:49:50<15:42:42, 12.46s/it] 55%|█████▍ | 5461/10000 [20:50:03<15:57:06, 12.65s/it] 55%|█████▍ | 5462/10000 [20:50:15<15:48:37, 12.54s/it] 55%|█████▍ | 5463/10000 [20:50:27<15:42:35, 12.47s/it] 55%|█████▍ | 5464/10000 [20:50:40<15:46:32, 12.52s/it] 55%|█████▍ | 5465/10000 [20:50:52<15:33:43, 12.35s/it] 55%|█████▍ | 5466/10000 [20:51:04<15:29:57, 12.31s/it] 55%|█████▍ | 5467/10000 [20:51:15<15:09:47, 12.04s/it] 55%|█████▍ | 5468/10000 [20:51:27<15:02:18, 11.95s/it] 55%|█████▍ | 5469/10000 [20:51:40<15:18:11, 12.16s/it] 55%|█████▍ | 5470/10000 [20:51:52<15:26:15, 12.27s/it] 55%|█████▍ | 5471/10000 [20:52:04<15:10:14, 12.06s/it] 55%|█████▍ | 5472/10000 [20:52:15<14:57:04, 11.89s/it] 55%|█████▍ | 5473/10000 [20:52:27<14:54:27, 11.86s/it] 55%|█████▍ | 5474/10000 [20:52:40<15:23:23, 12.24s/it] 55%|█████▍ | 5475/10000 [20:52:51<14:48:23, 11.78s/it] 55%|█████▍ | 5475/10000 [20:52:51<14:48:23, 11.78s/it] 55%|█████▍ | 5476/10000 [20:53:04<15:05:45, 12.01s/it] 55%|█████▍ | 5477/10000 [20:53:15<14:46:23, 11.76s/it] 55%|█████▍ | 5478/10000 [20:53:27<14:59:45, 11.94s/it] 55%|█████▍ | 5479/10000 [20:53:39<14:58:41, 11.93s/it] 55%|█████▍ | 5480/10000 [20:53:52<15:29:55, 12.34s/it] 55%|█████▍ | 5481/10000 [20:54:06<16:05:12, 12.82s/it] 55%|█████▍ | 5482/10000 [20:54:19<15:54:04, 12.67s/it] 55%|█████▍ | 5483/10000 [20:54:32<16:18:55, 13.00s/it] 55%|█████▍ | 5484/10000 [20:54:45<16:13:48, 12.94s/it] 55%|█████▍ | 5485/10000 [20:54:58<16:15:28, 12.96s/it] 55%|█████▍ | 5486/10000 [20:55:09<15:37:08, 12.46s/it] 55%|█████▍ | 5487/10000 [20:55:22<15:31:20, 12.38s/it] 55%|█████▍ | 5488/10000 [20:55:33<15:02:33, 12.00s/it] 55%|█████▍ | 5489/10000 [20:55:46<15:21:08, 12.25s/it] 55%|█████▍ | 5490/10000 [20:55:58<15:23:50, 12.29s/it] 55%|█████▍ | 5491/10000 [20:56:09<15:04:25, 12.03s/it] 55%|█████▍ | 5492/10000 [20:56:22<15:24:02, 12.30s/it] 55%|█████▍ | 5493/10000 [20:56:33<14:56:03, 11.93s/it] 55%|█████▍ | 5494/10000 [20:56:46<15:19:04, 12.24s/it] 55%|█████▍ | 5495/10000 [20:56:58<15:07:57, 12.09s/it] 55%|█████▍ | 5496/10000 [20:57:10<15:09:41, 12.12s/it] 55%|█████▍ | 5497/10000 [20:57:22<14:53:46, 11.91s/it] 55%|█████▍ | 5498/10000 [20:57:37<16:15:33, 13.00s/it] 55%|█████▍ | 5499/10000 [20:57:51<16:24:00, 13.12s/it] 55%|█████▌ | 5500/10000 [20:58:03<15:54:46, 12.73s/it] 55%|█████▌ | 5500/10000 [20:58:03<15:54:46, 12.73s/it][INFO|trainer.py:2955] 2022-12-17 12:25:43,364 >> ***** Running Evaluation ***** [INFO|trainer.py:2959] 2022-12-17 12:25:43,364 >> Num examples: Unknown [INFO|trainer.py:2960] 2022-12-17 12:25:43,364 >> Batch size = 32 [INFO|trainer_utils.py:689] 2022-12-17 12:25:46,160 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length, speaker_id, duration, gender, age. If input_length, speaker_id, duration, gender, age are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. 55%|█████▌ | 5500/10000 [21:14:36<15:54:46, 12.73s/it] 55%|█████▌ | 5501/10000 [21:14:48<388:02:14, 310.50s/it] 55%|█████▌ | 5502/10000 [21:15:01<276:24:47, 221.23s/it] 55%|█████▌ | 5503/10000 [21:15:13<198:03:33, 158.55s/it] 55%|█████▌ | 5504/10000 [21:15:26<143:37:55, 115.01s/it] 55%|█████▌ | 5505/10000 [21:15:39<105:13:16, 84.27s/it] 55%|█████▌ | 5506/10000 [21:15:53<78:47:29, 63.12s/it] 55%|█████▌ | 5507/10000 [21:16:08<60:45:09, 48.68s/it] 55%|█████▌ | 5508/10000 [21:16:20<46:59:19, 37.66s/it] 55%|█████▌ | 5509/10000 [21:16:33<37:42:31, 30.23s/it] 55%|█████▌ | 5510/10000 [21:16:44<30:40:47, 24.60s/it] 55%|█████▌ | 5511/10000 [21:16:58<26:38:57, 21.37s/it] 55%|█████▌ | 5512/10000 [21:17:10<23:07:34, 18.55s/it] 55%|█████▌ | 5513/10000 [21:17:21<20:31:30, 16.47s/it] 55%|█████▌ | 5514/10000 [21:17:34<18:54:44, 15.18s/it] 55%|█████▌ | 5515/10000 [21:17:45<17:31:26, 14.07s/it] 55%|█████▌ | 5516/10000 [21:17:57<16:49:53, 13.51s/it] 55%|█████▌ | 5517/10000 [21:18:10<16:21:48, 13.14s/it] 55%|█████▌ | 5518/10000 [21:18:22<16:07:27, 12.95s/it] 55%|█████▌ | 5519/10000 [21:18:33<15:28:05, 12.43s/it] 55%|█████▌ | 5520/10000 [21:18:46<15:41:15, 12.61s/it] 55%|█████▌ | 5521/10000 [21:18:59<15:35:06, 12.53s/it] 55%|█████▌ | 5522/10000 [21:19:11<15:22:02, 12.35s/it] 55%|█████▌ | 5523/10000 [21:19:22<15:02:37, 12.10s/it] 55%|█████▌ | 5524/10000 [21:19:33<14:28:18, 11.64s/it] 55%|█████▌ | 5525/10000 [21:19:44<14:25:08, 11.60s/it] 55%|█████▌ | 5525/10000 [21:19:44<14:25:08, 11.60s/it] 55%|█████▌ | 5526/10000 [21:19:56<14:19:42, 11.53s/it] 55%|█████▌ | 5527/10000 [21:20:08<14:39:11, 11.79s/it] 55%|█████▌ | 5528/10000 [21:20:20<14:36:31, 11.76s/it] 55%|█████▌ | 5529/10000 [21:20:32<14:43:15, 11.85s/it] 55%|█████▌ | 5530/10000 [21:20:44<14:44:23, 11.87s/it] 55%|█████▌ | 5531/10000 [21:20:56<15:01:41, 12.11s/it] 55%|█████▌ | 5532/10000 [21:21:09<15:07:55, 12.19s/it] 55%|█████▌ | 5533/10000 [21:21:20<14:46:47, 11.91s/it] 55%|█████▌ | 5534/10000 [21:21:33<15:14:18, 12.28s/it] 55%|█████▌ | 5535/10000 [21:21:45<15:14:32, 12.29s/it] 55%|█████▌ | 5536/10000 [21:21:56<14:47:15, 11.93s/it] 55%|█████▌ | 5537/10000 [21:22:08<14:31:15, 11.71s/it] 55%|█████▌ | 5538/10000 [21:22:19<14:21:24, 11.58s/it] 55%|█████▌ | 5539/10000 [21:22:31<14:22:28, 11.60s/it] 55%|█████▌ | 5540/10000 [21:22:42<14:14:24, 11.49s/it] 55%|█████▌ | 5541/10000 [21:22:54<14:19:40, 11.57s/it] 55%|█████▌ | 5542/10000 [21:23:07<14:50:18, 11.98s/it] 55%|█████▌ | 5543/10000 [21:23:17<14:26:03, 11.66s/it] 55%|█████▌ | 5544/10000 [21:23:30<14:39:22, 11.84s/it] 55%|█████▌ | 5545/10000 [21:23:43<15:06:33, 12.21s/it] 55%|█████▌ | 5546/10000 [21:23:56<15:31:45, 12.55s/it] 55%|█████▌ | 5547/10000 [21:24:09<15:30:46, 12.54s/it] 55%|█████▌ | 5548/10000 [21:24:22<15:52:40, 12.84s/it] 55%|█████▌ | 5549/10000 [21:24:34<15:39:38, 12.67s/it] 56%|█████▌ | 5550/10000 [21:24:46<15:22:22, 12.44s/it] 56%|█████▌ | 5550/10000 [21:24:46<15:22:22, 12.44s/it] 56%|█████▌ | 5551/10000 [21:24:59<15:17:13, 12.37s/it] 56%|█████▌ | 5552/10000 [21:25:11<15:15:35, 12.35s/it] 56%|█████▌ | 5553/10000 [21:25:22<14:58:56, 12.13s/it] 56%|█████▌ | 5554/10000 [21:25:35<15:00:02, 12.15s/it] 56%|█████▌ | 5555/10000 [21:25:47<14:54:38, 12.08s/it] 56%|█████▌ | 5556/10000 [21:25:59<15:06:29, 12.24s/it] 56%|█████▌ | 5557/10000 [21:26:11<15:00:44, 12.16s/it] 56%|█████▌ | 5558/10000 [21:26:23<15:03:18, 12.20s/it] 56%|█████▌ | 5559/10000 [21:26:35<14:53:59, 12.08s/it] 56%|█████▌ | 5560/10000 [21:26:48<15:01:41, 12.18s/it] 56%|█████▌ | 5561/10000 [21:27:00<15:15:08, 12.37s/it] 56%|█████▌ | 5562/10000 [21:27:13<15:08:27, 12.28s/it] 56%|█████▌ | 5563/10000 [21:27:26<15:24:49, 12.51s/it] 56%|█████▌ | 5564/10000 [21:27:38<15:15:58, 12.39s/it] 56%|█████▌ | 5565/10000 [21:27:49<14:59:03, 12.16s/it] 56%|█████▌ | 5566/10000 [21:28:02<15:00:38, 12.19s/it] 56%|█████▌ | 5567/10000 [21:28:14<15:01:23, 12.20s/it] 56%|█████▌ | 5568/10000 [21:28:26<15:03:43, 12.23s/it] 56%|█████▌ | 5569/10000 [21:28:39<15:11:18, 12.34s/it] 56%|█████▌ | 5570/10000 [21:28:51<15:17:28, 12.43s/it] 56%|█████▌ | 5571/10000 [21:29:03<15:08:29, 12.31s/it] 56%|█████▌ | 5572/10000 [21:29:15<14:57:59, 12.17s/it] 56%|█████▌ | 5573/10000 [21:29:28<15:01:06, 12.21s/it] 56%|█████▌ | 5574/10000 [21:29:39<14:46:23, 12.02s/it] 56%|█████▌ | 5575/10000 [21:29:52<15:10:47, 12.35s/it] 56%|█████▌ | 5575/10000 [21:29:52<15:10:47, 12.35s/it] 56%|█████▌ | 5576/10000 [21:30:04<15:01:14, 12.22s/it] 56%|█████▌ | 5577/10000 [21:30:17<15:03:37, 12.26s/it] 56%|█████▌ | 5578/10000 [21:30:29<14:59:38, 12.21s/it] 56%|█████▌ | 5579/10000 [21:30:41<15:00:23, 12.22s/it] 56%|█████▌ | 5580/10000 [21:30:54<15:29:31, 12.62s/it] 56%|█████▌ | 5581/10000 [21:31:07<15:25:15, 12.56s/it] 56%|█████▌ | 5582/10000 [21:31:19<15:27:16, 12.59s/it] 56%|█████▌ | 5583/10000 [21:31:31<15:11:53, 12.39s/it] 56%|█████▌ | 5584/10000 [21:31:44<15:17:11, 12.46s/it] 56%|█████▌ | 5585/10000 [21:31:56<14:55:59, 12.18s/it] 56%|█████▌ | 5586/10000 [21:32:09<15:22:55, 12.55s/it] 56%|█████▌ | 5587/10000 [21:32:22<15:24:29, 12.57s/it] 56%|█████▌ | 5588/10000 [21:32:35<15:40:29, 12.79s/it] 56%|█████▌ | 5589/10000 [21:32:47<15:34:24, 12.71s/it] 56%|█████▌ | 5590/10000 [21:32:59<15:10:31, 12.39s/it] 56%|█████▌ | 5591/10000 [21:33:11<15:05:52, 12.33s/it] 56%|█████▌ | 5592/10000 [21:33:23<14:57:49, 12.22s/it] 56%|█████▌ | 5593/10000 [21:33:35<14:55:22, 12.19s/it] 56%|█████▌ | 5594/10000 [21:33:48<15:16:17, 12.48s/it] 56%|█████▌ | 5595/10000 [21:34:01<15:12:02, 12.42s/it] 56%|█████▌ | 5596/10000 [21:34:13<14:58:46, 12.24s/it] 56%|█████▌ | 5597/10000 [21:34:25<15:01:04, 12.28s/it] 56%|█████▌ | 5598/10000 [21:34:37<15:02:46, 12.30s/it] 56%|█████▌ | 5599/10000 [21:34:50<15:03:32, 12.32s/it] 56%|█████▌ | 5600/10000 [21:35:02<15:09:42, 12.41s/it] 56%|█████▌ | 5600/10000 [21:35:02<15:09:42, 12.41s/it] 56%|█████▌ | 5601/10000 [21:35:15<15:11:14, 12.43s/it] 56%|█████▌ | 5602/10000 [21:35:27<15:03:28, 12.33s/it] 56%|█████▌ | 5603/10000 [21:35:40<15:32:27, 12.72s/it] 56%|█████▌ | 5604/10000 [21:35:52<15:15:38, 12.50s/it] 56%|█████▌ | 5605/10000 [21:36:05<15:22:43, 12.60s/it] 56%|█████▌ | 5606/10000 [21:36:17<15:04:23, 12.35s/it] 56%|█████▌ | 5607/10000 [21:36:29<15:00:15, 12.30s/it] 56%|█████▌ | 5608/10000 [21:36:42<15:05:05, 12.36s/it] 56%|█████▌ | 5609/10000 [21:36:54<15:01:32, 12.32s/it] 56%|█████▌ | 5610/10000 [21:37:06<14:57:03, 12.26s/it] 56%|█████▌ | 5611/10000 [21:37:18<14:54:05, 12.22s/it] 56%|█████▌ | 5612/10000 [21:37:31<15:07:54, 12.41s/it] 56%|█████▌ | 5613/10000 [21:37:43<14:51:46, 12.20s/it] 56%|█████▌ | 5614/10000 [21:37:56<15:07:12, 12.41s/it] 56%|█████▌ | 5615/10000 [21:38:07<14:45:51, 12.12s/it] 56%|█████▌ | 5616/10000 [21:38:18<14:16:55, 11.73s/it] 56%|█████▌ | 5617/10000 [21:38:30<14:13:59, 11.69s/it] 56%|█████▌ | 5618/10000 [21:38:41<14:08:32, 11.62s/it] 56%|█████▌ | 5619/10000 [21:38:53<14:20:33, 11.79s/it] 56%|█████▌ | 5620/10000 [21:39:05<14:12:42, 11.68s/it] 56%|█████▌ | 5621/10000 [21:39:17<14:26:00, 11.87s/it] 56%|█████▌ | 5622/10000 [21:39:29<14:40:48, 12.07s/it] 56%|█████▌ | 5623/10000 [21:39:41<14:20:14, 11.79s/it] 56%|█████▌ | 5624/10000 [21:39:52<14:07:09, 11.62s/it] 56%|█████▋ | 5625/10000 [21:40:04<14:13:42, 11.71s/it] 56%|█████▋ | 5625/10000 [21:40:04<14:13:42, 11.71s/it] 56%|█████▋ | 5626/10000 [21:40:15<13:59:40, 11.52s/it] 56%|█████▋ | 5627/10000 [21:40:27<14:08:59, 11.65s/it] 56%|█████▋ | 5628/10000 [21:40:39<14:29:02, 11.93s/it] 56%|█████▋ | 5629/10000 [21:40:51<14:14:05, 11.72s/it] 56%|█████▋ | 5630/10000 [21:41:01<13:52:13, 11.43s/it] 56%|█████▋ | 5631/10000 [21:41:14<14:23:16, 11.86s/it] 56%|█████▋ | 5632/10000 [21:41:27<14:34:32, 12.01s/it] 56%|█████▋ | 5633/10000 [21:41:39<14:33:20, 12.00s/it] 56%|█████▋ | 5634/10000 [21:41:50<14:16:31, 11.77s/it] 56%|█████▋ | 5635/10000 [21:42:03<14:38:45, 12.08s/it] 56%|█████▋ | 5636/10000 [21:42:14<14:22:57, 11.86s/it] 56%|█████▋ | 5637/10000 [21:42:26<14:18:14, 11.80s/it] 56%|█████▋ | 5638/10000 [21:42:37<14:13:42, 11.74s/it] 56%|█████▋ | 5639/10000 [21:42:50<14:33:49, 12.02s/it] 56%|█████▋ | 5640/10000 [21:43:03<14:51:34, 12.27s/it] 56%|█████▋ | 5641/10000 [21:43:15<14:59:12, 12.38s/it] 56%|█████▋ | 5642/10000 [21:43:28<15:13:05, 12.57s/it] 56%|█████▋ | 5643/10000 [21:43:40<15:01:26, 12.41s/it] 56%|█████▋ | 5644/10000 [21:43:52<14:39:43, 12.12s/it] 56%|█████▋ | 5645/10000 [21:44:04<14:35:27, 12.06s/it] 56%|█████▋ | 5646/10000 [21:44:17<14:55:06, 12.33s/it] 56%|█████▋ | 5647/10000 [21:44:29<14:44:47, 12.20s/it] 56%|█████▋ | 5648/10000 [21:44:41<14:49:29, 12.26s/it] 56%|█████▋ | 5649/10000 [21:44:53<14:47:41, 12.24s/it] 56%|█████▋ | 5650/10000 [21:45:06<15:03:26, 12.46s/it] 56%|█████▋ | 5650/10000 [21:45:06<15:03:26, 12.46s/it] 57%|█████▋ | 5651/10000 [21:45:18<14:51:49, 12.30s/it] 57%|█████▋ | 5652/10000 [21:45:30<14:50:43, 12.29s/it] 57%|█████▋ | 5653/10000 [21:45:43<14:46:47, 12.24s/it] 57%|█████▋ | 5654/10000 [21:45:56<15:14:37, 12.63s/it] 57%|█████▋ | 5655/10000 [21:46:08<14:49:45, 12.29s/it] 57%|█████▋ | 5656/10000 [21:46:21<15:13:03, 12.61s/it] 57%|█████▋ | 5657/10000 [21:46:33<14:59:02, 12.42s/it] 57%|█████▋ | 5658/10000 [21:46:45<14:54:47, 12.36s/it] 57%|█████▋ | 5659/10000 [21:46:57<14:34:54, 12.09s/it] 57%|█████▋ | 5660/10000 [21:47:09<14:34:05, 12.08s/it] 57%|█████▋ | 5661/10000 [21:47:21<14:32:20, 12.06s/it] 57%|█████▋ | 5662/10000 [21:47:34<14:54:11, 12.37s/it] 57%|█████▋ | 5663/10000 [21:47:46<14:47:54, 12.28s/it] 57%|█████▋ | 5664/10000 [21:47:57<14:29:15, 12.03s/it] 57%|█████▋ | 5665/10000 [21:48:10<14:54:24, 12.38s/it] 57%|█████▋ | 5666/10000 [21:48:22<14:32:57, 12.09s/it] 57%|█████▋ | 5667/10000 [21:48:34<14:38:22, 12.16s/it] 57%|█████▋ | 5668/10000 [21:48:46<14:39:55, 12.19s/it] 57%|█████▋ | 5669/10000 [21:48:58<14:32:29, 12.09s/it] 57%|█████▋ | 5670/10000 [21:49:10<14:34:34, 12.12s/it] 57%|█████▋ | 5671/10000 [21:49:24<14:56:56, 12.43s/it] 57%|█████▋ | 5672/10000 [21:49:36<14:59:25, 12.47s/it] 57%|█████▋ | 5673/10000 [21:49:48<14:55:00, 12.41s/it] 57%|█████▋ | 5674/10000 [21:50:01<14:47:16, 12.31s/it] 57%|█████▋ | 5675/10000 [21:50:13<14:55:20, 12.42s/it] 57%|█████▋ | 5675/10000 [21:50:13<14:55:20, 12.42s/it] 57%|█████▋ | 5676/10000 [21:50:27<15:18:53, 12.75s/it] 57%|█████▋ | 5677/10000 [21:50:39<15:01:52, 12.52s/it] 57%|█████▋ | 5678/10000 [21:50:51<14:49:33, 12.35s/it] 57%|█████▋ | 5679/10000 [21:51:05<15:24:55, 12.84s/it] 57%|█████▋ | 5680/10000 [21:51:18<15:33:53, 12.97s/it] 57%|█████▋ | 5681/10000 [21:51:31<15:32:30, 12.95s/it] 57%|█████▋ | 5682/10000 [21:51:43<15:15:51, 12.73s/it] 57%|█████▋ | 5683/10000 [21:51:55<15:08:51, 12.63s/it] 57%|█████▋ | 5684/10000 [21:52:07<14:37:02, 12.19s/it] 57%|█████▋ | 5685/10000 [21:52:18<14:18:37, 11.94s/it] 57%|█████▋ | 5686/10000 [21:52:30<14:24:05, 12.02s/it] 57%|█████▋ | 5687/10000 [21:52:41<14:05:53, 11.77s/it] 57%|█████▋ | 5688/10000 [21:52:54<14:30:40, 12.12s/it] 57%|█████▋ | 5689/10000 [21:53:06<14:30:06, 12.11s/it] 57%|█████▋ | 5690/10000 [21:53:18<14:22:48, 12.01s/it] 57%|█████▋ | 5691/10000 [21:53:29<14:05:55, 11.78s/it] 57%|█████▋ | 5692/10000 [21:53:41<14:10:11, 11.84s/it] 57%|█████▋ | 5693/10000 [21:53:53<14:11:06, 11.86s/it] 57%|█████▋ | 5694/10000 [21:54:04<13:53:23, 11.61s/it] 57%|█████▋ | 5695/10000 [21:54:18<14:41:08, 12.28s/it] 57%|█████▋ | 5696/10000 [21:54:32<15:11:15, 12.70s/it] 57%|█████▋ | 5697/10000 [21:54:44<14:53:34, 12.46s/it] 57%|█████▋ | 5698/10000 [21:54:55<14:36:34, 12.23s/it] 57%|█████▋ | 5699/10000 [21:55:08<14:46:02, 12.36s/it] 57%|█████▋ | 5700/10000 [21:55:20<14:25:27, 12.08s/it] 57%|█████▋ | 5700/10000 [21:55:20<14:25:27, 12.08s/it] 57%|█████▋ | 5701/10000 [21:55:33<14:50:03, 12.42s/it] 57%|█████▋ | 5702/10000 [21:55:44<14:28:16, 12.12s/it] 57%|█████▋ | 5703/10000 [21:55:56<14:22:36, 12.04s/it] 57%|█████▋ | 5704/10000 [21:56:08<14:13:44, 11.92s/it] 57%|█████▋ | 5705/10000 [21:56:19<13:58:33, 11.71s/it] 57%|█████▋ | 5706/10000 [21:56:30<13:48:25, 11.58s/it] 57%|█████▋ | 5707/10000 [21:56:45<14:52:59, 12.48s/it] 57%|█████▋ | 5708/10000 [21:56:57<14:47:44, 12.41s/it] 57%|█████▋ | 5709/10000 [21:57:09<14:40:23, 12.31s/it] 57%|█████▋ | 5710/10000 [21:57:21<14:34:31, 12.23s/it] 57%|█████▋ | 5711/10000 [21:57:32<14:08:49, 11.87s/it] 57%|█████▋ | 5712/10000 [21:57:44<14:10:57, 11.91s/it] 57%|█████▋ | 5713/10000 [21:57:56<14:05:15, 11.83s/it] 57%|█████▋ | 5714/10000 [21:58:07<14:00:06, 11.76s/it] 57%|█████▋ | 5715/10000 [21:58:19<14:02:53, 11.80s/it] 57%|█████▋ | 5716/10000 [21:58:33<14:33:28, 12.23s/it] 57%|█████▋ | 5717/10000 [21:58:46<15:01:15, 12.63s/it] 57%|█████▋ | 5718/10000 [21:58:59<14:57:27, 12.58s/it] 57%|█████▋ | 5719/10000 [21:59:10<14:42:22, 12.37s/it] 57%|█████▋ | 5720/10000 [21:59:23<14:47:28, 12.44s/it] 57%|█████▋ | 5721/10000 [21:59:36<15:01:45, 12.64s/it] 57%|█████▋ | 5722/10000 [21:59:49<15:06:35, 12.72s/it] 57%|█████▋ | 5723/10000 [22:00:01<14:50:50, 12.50s/it] 57%|█████▋ | 5724/10000 [22:00:14<15:01:24, 12.65s/it] 57%|█████▋ | 5725/10000 [22:00:27<15:14:17, 12.83s/it] 57%|█████▋ | 5725/10000 [22:00:27<15:14:17, 12.83s/it] 57%|█████▋ | 5726/10000 [22:00:39<14:59:09, 12.62s/it] 57%|█████▋ | 5727/10000 [22:00:52<15:00:22, 12.64s/it] 57%|█████▋ | 5728/10000 [22:01:04<14:43:28, 12.41s/it] 57%|█████▋ | 5729/10000 [22:01:16<14:33:13, 12.27s/it] 57%|█████▋ | 5730/10000 [22:01:28<14:30:02, 12.23s/it] 57%|█████▋ | 5731/10000 [22:01:42<15:04:54, 12.72s/it] 57%|█████▋ | 5732/10000 [22:01:54<14:48:17, 12.49s/it] 57%|█████▋ | 5733/10000 [22:02:06<14:46:38, 12.47s/it] 57%|█████▋ | 5734/10000 [22:02:19<14:59:30, 12.65s/it] 57%|█████▋ | 5735/10000 [22:02:31<14:32:48, 12.28s/it] 57%|█████▋ | 5736/10000 [22:02:44<14:51:48, 12.55s/it] 57%|█████▋ | 5737/10000 [22:02:57<14:59:33, 12.66s/it] 57%|█████▋ | 5738/10000 [22:03:09<14:39:25, 12.38s/it] 57%|█████▋ | 5739/10000 [22:03:21<14:39:05, 12.38s/it] 57%|█████▋ | 5740/10000 [22:03:33<14:39:09, 12.38s/it] 57%|█████▋ | 5741/10000 [22:03:46<14:53:59, 12.59s/it] 57%|█████▋ | 5742/10000 [22:03:58<14:33:34, 12.31s/it] 57%|█████▋ | 5743/10000 [22:04:11<14:39:06, 12.39s/it] 57%|█████▋ | 5744/10000 [22:04:23<14:31:58, 12.29s/it] 57%|█████▋ | 5745/10000 [22:04:36<14:47:59, 12.52s/it] 57%|█████▋ | 5746/10000 [22:04:48<14:44:13, 12.47s/it] 57%|█████▋ | 5747/10000 [22:05:00<14:37:32, 12.38s/it] 57%|█████▋ | 5748/10000 [22:05:12<14:30:27, 12.28s/it] 57%|█████▋ | 5749/10000 [22:05:24<14:24:41, 12.20s/it] 57%|█████▊ | 5750/10000 [22:05:37<14:30:35, 12.29s/it] 57%|█████▊ | 5750/10000 [22:05:37<14:30:35, 12.29s/it] 58%|█████▊ | 5751/10000 [22:05:50<14:49:20, 12.56s/it] 58%|█████▊ | 5752/10000 [22:06:03<15:08:13, 12.83s/it] 58%|█████▊ | 5753/10000 [22:06:16<14:53:35, 12.62s/it] 58%|█████▊ | 5754/10000 [22:06:28<14:37:17, 12.40s/it] 58%|█████▊ | 5755/10000 [22:06:39<14:25:34, 12.23s/it] 58%|█████▊ | 5756/10000 [22:06:52<14:30:46, 12.31s/it] 58%|█████▊ | 5757/10000 [22:07:04<14:20:10, 12.16s/it] 58%|█████▊ | 5758/10000 [22:07:17<14:48:04, 12.56s/it] 58%|█████▊ | 5759/10000 [22:07:29<14:33:12, 12.35s/it] 58%|█████▊ | 5760/10000 [22:07:41<14:25:54, 12.25s/it] 58%|█████▊ | 5761/10000 [22:07:55<15:05:22, 12.82s/it] 58%|█████▊ | 5762/10000 [22:08:07<14:43:02, 12.50s/it] 58%|█████▊ | 5763/10000 [22:08:18<14:16:00, 12.12s/it] 58%|█████▊ | 5764/10000 [22:08:30<14:07:24, 12.00s/it] 58%|█████▊ | 5765/10000 [22:08:41<13:44:57, 11.69s/it] 58%|█████▊ | 5766/10000 [22:08:54<14:22:49, 12.23s/it] 58%|█████▊ | 5767/10000 [22:09:06<14:10:51, 12.06s/it] 58%|█████▊ | 5768/10000 [22:09:17<13:47:53, 11.74s/it] 58%|█████▊ | 5769/10000 [22:09:29<13:49:48, 11.77s/it] 58%|█████▊ | 5770/10000 [22:09:40<13:32:08, 11.52s/it] 58%|█████▊ | 5771/10000 [22:09:51<13:36:10, 11.58s/it] 58%|█████▊ | 5772/10000 [22:10:04<13:55:15, 11.85s/it] 58%|█████▊ | 5773/10000 [22:10:16<13:57:28, 11.89s/it] 58%|█████▊ | 5774/10000 [22:10:28<14:10:37, 12.08s/it] 58%|█████▊ | 5775/10000 [22:10:39<13:37:08, 11.60s/it] 58%|█████▊ | 5775/10000 [22:10:39<13:37:08, 11.60s/it] 58%|█████▊ | 5776/10000 [22:10:53<14:27:36, 12.32s/it] 58%|█████▊ | 5777/10000 [22:11:06<14:39:19, 12.49s/it] 58%|█████▊ | 5778/10000 [22:11:18<14:33:50, 12.42s/it] 58%|█████▊ | 5779/10000 [22:11:29<14:10:50, 12.09s/it] 58%|█████▊ | 5780/10000 [22:11:43<14:39:45, 12.51s/it] 58%|█████▊ | 5781/10000 [22:11:54<14:19:06, 12.22s/it] 58%|█████▊ | 5782/10000 [22:12:05<13:53:08, 11.85s/it] 58%|█████▊ | 5783/10000 [22:12:18<14:05:56, 12.04s/it] 58%|█████▊ | 5784/10000 [22:12:30<13:57:42, 11.92s/it] 58%|█████▊ | 5785/10000 [22:12:41<13:44:51, 11.74s/it] 58%|█████▊ | 5786/10000 [22:12:53<13:49:11, 11.81s/it] 58%|█████▊ | 5787/10000 [22:13:05<13:51:57, 11.85s/it] 58%|█████▊ | 5788/10000 [22:13:17<13:49:22, 11.81s/it] 58%|█████▊ | 5789/10000 [22:13:28<13:41:35, 11.71s/it] 58%|█████▊ | 5790/10000 [22:13:40<13:42:53, 11.73s/it] 58%|█████▊ | 5791/10000 [22:13:53<14:17:49, 12.23s/it] 58%|█████▊ | 5792/10000 [22:14:05<14:10:48, 12.13s/it] 58%|█████▊ | 5793/10000 [22:14:17<14:02:45, 12.02s/it] 58%|█████▊ | 5794/10000 [22:14:29<13:56:35, 11.93s/it] 58%|█████▊ | 5795/10000 [22:14:41<14:10:24, 12.13s/it] 58%|█████▊ | 5796/10000 [22:14:53<14:05:07, 12.06s/it] 58%|█████▊ | 5797/10000 [22:15:05<14:11:55, 12.16s/it] 58%|█████▊ | 5798/10000 [22:15:17<14:08:41, 12.12s/it] 58%|█████▊ | 5799/10000 [22:15:30<14:19:25, 12.27s/it] 58%|█████▊ | 5800/10000 [22:15:42<14:13:09, 12.19s/it] 58%|█████▊ | 5800/10000 [22:15:42<14:13:09, 12.19s/it] 58%|█████▊ | 5801/10000 [22:15:54<14:11:58, 12.17s/it] 58%|█████▊ | 5802/10000 [22:16:08<14:44:00, 12.63s/it] 58%|█████▊ | 5803/10000 [22:16:22<15:05:38, 12.95s/it] 58%|█████▊ | 5804/10000 [22:16:33<14:36:38, 12.54s/it] 58%|█████▊ | 5805/10000 [22:16:46<14:46:49, 12.68s/it] 58%|█████▊ | 5806/10000 [22:16:58<14:33:26, 12.50s/it] 58%|█████▊ | 5807/10000 [22:17:11<14:37:19, 12.55s/it] 58%|█████▊ | 5808/10000 [22:17:23<14:23:54, 12.37s/it] 58%|█████▊ | 5809/10000 [22:17:36<14:33:42, 12.51s/it] 58%|█████▊ | 5810/10000 [22:17:48<14:28:29, 12.44s/it] 58%|█████▊ | 5811/10000 [22:18:01<14:41:51, 12.63s/it] 58%|█████▊ | 5812/10000 [22:18:13<14:31:12, 12.48s/it] 58%|█████▊ | 5813/10000 [22:18:26<14:26:34, 12.42s/it] 58%|█████▊ | 5814/10000 [22:18:38<14:22:20, 12.36s/it] 58%|█████▊ | 5815/10000 [22:18:50<14:16:45, 12.28s/it] 58%|█████▊ | 5816/10000 [22:19:03<14:26:04, 12.42s/it] 58%|█████▊ | 5817/10000 [22:19:14<14:11:19, 12.21s/it] 58%|█████▊ | 5818/10000 [22:19:27<14:13:14, 12.24s/it] 58%|█████▊ | 5819/10000 [22:19:39<14:20:48, 12.35s/it] 58%|█████▊ | 5820/10000 [22:19:50<13:56:29, 12.01s/it] 58%|█████▊ | 5821/10000 [22:20:03<14:10:49, 12.22s/it] 58%|█████▊ | 5822/10000 [22:20:15<14:12:49, 12.25s/it] 58%|█████▊ | 5823/10000 [22:20:29<14:42:50, 12.68s/it] 58%|█████▊ | 5824/10000 [22:20:41<14:28:50, 12.48s/it] 58%|█████▊ | 5825/10000 [22:20:53<14:21:05, 12.37s/it] 58%|█████▊ | 5825/10000 [22:20:53<14:21:05, 12.37s/it] 58%|█████▊ | 5826/10000 [22:21:07<14:39:08, 12.64s/it] 58%|█████▊ | 5827/10000 [22:21:20<14:58:07, 12.91s/it] 58%|█████▊ | 5828/10000 [22:21:32<14:40:07, 12.66s/it] 58%|█████▊ | 5829/10000 [22:21:44<14:32:49, 12.56s/it] 58%|█████▊ | 5830/10000 [22:21:56<14:21:15, 12.39s/it] 58%|█████▊ | 5831/10000 [22:22:08<14:09:15, 12.22s/it] 58%|█████▊ | 5832/10000 [22:22:21<14:14:54, 12.31s/it] 58%|█████▊ | 5833/10000 [22:22:34<14:32:14, 12.56s/it] 58%|█████▊ | 5834/10000 [22:22:46<14:11:43, 12.27s/it] 58%|█████▊ | 5835/10000 [22:22:57<13:49:49, 11.95s/it] 58%|█████▊ | 5836/10000 [22:23:08<13:34:14, 11.73s/it] 58%|█████▊ | 5837/10000 [22:23:20<13:40:24, 11.82s/it] 58%|█████▊ | 5838/10000 [22:23:31<13:31:09, 11.69s/it] 58%|█████▊ | 5839/10000 [22:23:44<13:58:14, 12.09s/it] 58%|█████▊ | 5840/10000 [22:23:56<13:48:15, 11.95s/it] 58%|█████▊ | 5841/10000 [22:24:10<14:21:42, 12.43s/it] 58%|█████▊ | 5842/10000 [22:24:21<14:06:33, 12.22s/it] 58%|█████▊ | 5843/10000 [22:24:34<14:07:39, 12.23s/it] 58%|█████▊ | 5844/10000 [22:24:46<14:07:27, 12.23s/it] 58%|█████▊ | 5845/10000 [22:24:59<14:30:33, 12.57s/it] 58%|█████▊ | 5846/10000 [22:25:10<13:57:37, 12.10s/it] 58%|█████▊ | 5847/10000 [22:25:23<14:16:54, 12.38s/it] 58%|█████▊ | 5848/10000 [22:25:34<13:42:03, 11.88s/it] 58%|█████▊ | 5849/10000 [22:25:50<15:00:18, 13.01s/it] 58%|█████▊ | 5850/10000 [22:26:01<14:30:35, 12.59s/it] 58%|█████▊ | 5850/10000 [22:26:01<14:30:35, 12.59s/it] 59%|█████▊ | 5851/10000 [22:26:12<13:59:57, 12.15s/it] 59%|█████▊ | 5852/10000 [22:26:25<14:16:36, 12.39s/it] 59%|█████▊ | 5853/10000 [22:26:37<13:57:19, 12.11s/it] 59%|█████▊ | 5854/10000 [22:26:52<14:55:22, 12.96s/it] 59%|█████▊ | 5855/10000 [22:27:02<14:08:01, 12.28s/it] 59%|█████▊ | 5856/10000 [22:27:15<14:18:39, 12.43s/it] 59%|█████▊ | 5857/10000 [22:27:26<13:52:18, 12.05s/it] 59%|█████▊ | 5858/10000 [22:27:38<13:44:37, 11.95s/it] 59%|█████▊ | 5859/10000 [22:27:50<13:49:20, 12.02s/it] 59%|█████▊ | 5860/10000 [22:28:02<13:53:05, 12.07s/it] 59%|█████▊ | 5861/10000 [22:28:15<14:06:03, 12.26s/it] 59%|█████▊ | 5862/10000 [22:28:28<14:20:39, 12.48s/it] 59%|█████▊ | 5863/10000 [22:28:40<14:09:09, 12.32s/it] 59%|█████▊ | 5864/10000 [22:28:54<14:44:01, 12.82s/it] 59%|█████▊ | 5865/10000 [22:29:06<14:21:33, 12.50s/it] 59%|█████▊ | 5866/10000 [22:29:19<14:32:49, 12.67s/it] 59%|█████▊ | 5867/10000 [22:29:31<14:12:16, 12.37s/it] 59%|█████▊ | 5868/10000 [22:29:43<14:18:37, 12.47s/it] 59%|█████▊ | 5869/10000 [22:29:55<13:56:36, 12.15s/it] 59%|█████▊ | 5870/10000 [22:30:07<14:03:35, 12.26s/it] 59%|█████▊ | 5871/10000 [22:30:19<14:01:41, 12.23s/it] 59%|█████▊ | 5872/10000 [22:30:32<14:08:12, 12.33s/it] 59%|█████▊ | 5873/10000 [22:30:45<14:16:00, 12.45s/it] 59%|█████▊ | 5874/10000 [22:30:57<14:22:17, 12.54s/it] 59%|█████▉ | 5875/10000 [22:31:09<14:03:49, 12.27s/it] 59%|█████▉ | 5875/10000 [22:31:09<14:03:49, 12.27s/it] 59%|█████▉ | 5876/10000 [22:31:22<14:15:50, 12.45s/it] 59%|█████▉ | 5877/10000 [22:31:34<14:17:30, 12.48s/it] 59%|█████▉ | 5878/10000 [22:31:47<14:23:40, 12.57s/it] 59%|█████▉ | 5879/10000 [22:31:59<14:16:56, 12.48s/it] 59%|█████▉ | 5880/10000 [22:32:12<14:10:16, 12.38s/it] 59%|█████▉ | 5881/10000 [22:32:24<14:10:58, 12.40s/it] 59%|█████▉ | 5882/10000 [22:32:38<14:37:02, 12.78s/it] 59%|█████▉ | 5883/10000 [22:32:52<15:04:23, 13.18s/it] 59%|█████▉ | 5884/10000 [22:33:03<14:27:38, 12.65s/it] 59%|█████▉ | 5885/10000 [22:33:15<14:07:45, 12.36s/it] 59%|█████▉ | 5886/10000 [22:33:27<14:10:01, 12.40s/it] 59%|█████▉ | 5887/10000 [22:33:39<14:02:15, 12.29s/it] 59%|█████▉ | 5888/10000 [22:33:52<14:07:22, 12.36s/it] 59%|█████▉ | 5889/10000 [22:34:05<14:13:56, 12.46s/it] 59%|█████▉ | 5890/10000 [22:34:17<14:04:37, 12.33s/it] 59%|█████▉ | 5891/10000 [22:34:29<13:56:53, 12.22s/it] 59%|█████▉ | 5892/10000 [22:34:41<13:59:59, 12.27s/it] 59%|█████▉ | 5893/10000 [22:34:54<14:11:48, 12.44s/it] 59%|█████▉ | 5894/10000 [22:35:08<14:38:24, 12.84s/it] 59%|█████▉ | 5895/10000 [22:35:20<14:36:01, 12.80s/it] 59%|█████▉ | 5896/10000 [22:35:33<14:23:57, 12.63s/it] 59%|█████▉ | 5897/10000 [22:35:45<14:16:30, 12.53s/it] 59%|█████▉ | 5898/10000 [22:35:57<14:17:52, 12.55s/it] 59%|█████▉ | 5899/10000 [22:36:10<14:08:33, 12.42s/it] 59%|█████▉ | 5900/10000 [22:36:22<14:02:39, 12.33s/it] 59%|█████▉ | 5900/10000 [22:36:22<14:02:39, 12.33s/it] 59%|█████▉ | 5901/10000 [22:36:33<13:50:28, 12.16s/it] 59%|█████▉ | 5902/10000 [22:36:45<13:28:53, 11.84s/it] 59%|█████▉ | 5903/10000 [22:36:57<13:37:47, 11.98s/it] 59%|█████▉ | 5904/10000 [22:37:08<13:21:53, 11.75s/it] 59%|█████▉ | 5905/10000 [22:37:20<13:17:08, 11.68s/it] 59%|█████▉ | 5906/10000 [22:37:33<13:43:09, 12.06s/it] 59%|█████▉ | 5907/10000 [22:37:46<14:01:31, 12.34s/it] 59%|█████▉ | 5908/10000 [22:37:57<13:50:45, 12.18s/it] 59%|█████▉ | 5909/10000 [22:38:08<13:29:04, 11.87s/it] 59%|█████▉ | 5910/10000 [22:38:20<13:20:12, 11.74s/it] 59%|█████▉ | 5911/10000 [22:38:32<13:28:08, 11.86s/it] 59%|█████▉ | 5912/10000 [22:38:44<13:30:25, 11.89s/it] 59%|█████▉ | 5913/10000 [22:38:57<13:52:58, 12.23s/it] 59%|█████▉ | 5914/10000 [22:39:09<13:53:29, 12.24s/it] 59%|█████▉ | 5915/10000 [22:39:22<14:07:16, 12.44s/it] 59%|█████▉ | 5916/10000 [22:39:34<13:47:20, 12.15s/it] 59%|█████▉ | 5917/10000 [22:39:45<13:32:26, 11.94s/it] 59%|█████▉ | 5918/10000 [22:39:57<13:36:14, 12.00s/it] 59%|█████▉ | 5919/10000 [22:40:09<13:40:34, 12.06s/it] 59%|█████▉ | 5920/10000 [22:40:21<13:36:31, 12.01s/it] 59%|█████▉ | 5921/10000 [22:40:34<13:47:47, 12.18s/it] 59%|█████▉ | 5922/10000 [22:40:47<13:55:49, 12.30s/it] 59%|█████▉ | 5923/10000 [22:40:58<13:35:55, 12.01s/it] 59%|█████▉ | 5924/10000 [22:41:09<13:25:22, 11.86s/it] 59%|█████▉ | 5925/10000 [22:41:21<13:11:35, 11.66s/it] 59%|█████▉ | 5925/10000 [22:41:21<13:11:35, 11.66s/it] 59%|█████▉ | 5926/10000 [22:41:32<13:16:38, 11.73s/it] 59%|█████▉ | 5927/10000 [22:41:45<13:32:43, 11.97s/it] 59%|█████▉ | 5928/10000 [22:41:58<13:59:24, 12.37s/it] 59%|█████▉ | 5929/10000 [22:42:11<14:02:15, 12.41s/it] 59%|█████▉ | 5930/10000 [22:42:23<13:52:50, 12.28s/it] 59%|█████▉ | 5931/10000 [22:42:36<14:02:30, 12.42s/it] 59%|█████▉ | 5932/10000 [22:42:48<13:54:08, 12.30s/it] 59%|█████▉ | 5933/10000 [22:42:59<13:46:58, 12.20s/it] 59%|█████▉ | 5934/10000 [22:43:12<13:56:09, 12.34s/it] 59%|█████▉ | 5935/10000 [22:43:25<14:05:13, 12.48s/it] 59%|█████▉ | 5936/10000 [22:43:37<14:04:03, 12.46s/it] 59%|█████▉ | 5937/10000 [22:43:50<14:00:12, 12.41s/it] 59%|█████▉ | 5938/10000 [22:44:02<13:55:39, 12.34s/it] 59%|█████▉ | 5939/10000 [22:44:14<13:53:23, 12.31s/it] 59%|█████▉ | 5940/10000 [22:44:26<13:52:41, 12.31s/it] 59%|█████▉ | 5941/10000 [22:44:39<13:53:55, 12.33s/it] 59%|█████▉ | 5942/10000 [22:44:51<13:43:08, 12.17s/it] 59%|█████▉ | 5943/10000 [22:45:03<13:43:02, 12.17s/it] 59%|█████▉ | 5944/10000 [22:45:14<13:32:56, 12.03s/it] 59%|█████▉ | 5945/10000 [22:45:28<14:06:26, 12.52s/it] 59%|█████▉ | 5946/10000 [22:45:41<14:11:53, 12.61s/it] 59%|█████▉ | 5947/10000 [22:45:53<13:55:51, 12.37s/it] 59%|█████▉ | 5948/10000 [22:46:05<13:55:40, 12.37s/it] 59%|█████▉ | 5949/10000 [22:46:17<13:41:09, 12.16s/it] 60%|█████▉ | 5950/10000 [22:46:30<13:57:45, 12.41s/it] 60%|█████▉ | 5950/10000 [22:46:30<13:57:45, 12.41s/it] 60%|█████▉ | 5951/10000 [22:46:42<13:49:31, 12.29s/it] 60%|█████▉ | 5952/10000 [22:46:55<14:01:49, 12.48s/it] 60%|█████▉ | 5953/10000 [22:47:07<13:50:36, 12.31s/it] 60%|█████▉ | 5954/10000 [22:47:20<14:19:51, 12.75s/it] 60%|█████▉ | 5955/10000 [22:47:33<14:12:01, 12.64s/it] 60%|█████▉ | 5956/10000 [22:47:45<14:02:27, 12.50s/it] 60%|█████▉ | 5957/10000 [22:47:57<13:52:36, 12.36s/it] 60%|█████▉ | 5958/10000 [22:48:09<13:52:34, 12.36s/it] 60%|█████▉ | 5959/10000 [22:48:21<13:38:00, 12.15s/it] 60%|█████▉ | 5960/10000 [22:48:34<13:58:45, 12.46s/it] 60%|█████▉ | 5961/10000 [22:48:47<14:01:23, 12.50s/it] 60%|█████▉ | 5962/10000 [22:48:59<13:55:55, 12.42s/it] 60%|█████▉ | 5963/10000 [22:49:11<13:45:54, 12.27s/it] 60%|█████▉ | 5964/10000 [22:49:24<13:51:36, 12.36s/it] 60%|█████▉ | 5965/10000 [22:49:36<13:44:29, 12.26s/it] 60%|█████▉ | 5966/10000 [22:49:48<13:45:23, 12.28s/it] 60%|█████▉ | 5967/10000 [22:50:00<13:51:40, 12.37s/it] 60%|█████▉ | 5968/10000 [22:50:12<13:43:02, 12.25s/it] 60%|█████▉ | 5969/10000 [22:50:25<13:45:20, 12.28s/it] 60%|█████▉ | 5970/10000 [22:50:37<13:52:20, 12.39s/it] 60%|█████▉ | 5971/10000 [22:50:50<13:46:47, 12.31s/it] 60%|█████▉ | 5972/10000 [22:51:02<13:49:26, 12.36s/it] 60%|█████▉ | 5973/10000 [22:51:16<14:23:18, 12.86s/it] 60%|█████▉ | 5974/10000 [22:51:28<14:11:18, 12.69s/it] 60%|█████▉ | 5975/10000 [22:51:41<14:08:49, 12.65s/it] 60%|█████▉ | 5975/10000 [22:51:41<14:08:49, 12.65s/it] 60%|█████▉ | 5976/10000 [22:51:53<13:47:59, 12.35s/it] 60%|█████▉ | 5977/10000 [22:52:05<13:44:03, 12.29s/it] 60%|█████▉ | 5978/10000 [22:52:17<13:42:14, 12.27s/it] 60%|█████▉ | 5979/10000 [22:52:29<13:40:11, 12.24s/it] 60%|█████▉ | 5980/10000 [22:52:41<13:34:37, 12.16s/it] 60%|█████▉ | 5981/10000 [22:52:54<13:42:53, 12.29s/it] 60%|█████▉ | 5982/10000 [22:53:07<14:09:37, 12.69s/it] 60%|█████▉ | 5983/10000 [22:53:19<13:51:32, 12.42s/it] 60%|█████▉ | 5984/10000 [22:53:31<13:35:53, 12.19s/it] 60%|█████▉ | 5985/10000 [22:53:42<13:18:05, 11.93s/it] 60%|█████▉ | 5986/10000 [22:53:54<13:15:35, 11.89s/it] 60%|█████▉ | 5987/10000 [22:54:05<12:52:58, 11.56s/it] 60%|█████▉ | 5988/10000 [22:54:17<13:03:07, 11.71s/it] 60%|█████▉ | 5989/10000 [22:54:29<13:07:10, 11.78s/it] 60%|█████▉ | 5990/10000 [22:54:40<12:59:34, 11.66s/it] 60%|█████▉ | 5991/10000 [22:54:53<13:28:03, 12.09s/it] 60%|█████▉ | 5992/10000 [22:55:06<13:36:34, 12.22s/it] 60%|█████▉ | 5993/10000 [22:55:18<13:35:57, 12.22s/it] 60%|█████▉ | 5994/10000 [22:55:30<13:31:03, 12.15s/it] 60%|█████▉ | 5995/10000 [22:55:41<13:21:38, 12.01s/it] 60%|█████▉ | 5996/10000 [22:55:54<13:23:43, 12.04s/it] 60%|█████▉ | 5997/10000 [22:56:05<13:00:36, 11.70s/it] 60%|█████▉ | 5998/10000 [22:56:17<13:13:24, 11.90s/it] 60%|█████▉ | 5999/10000 [22:56:28<12:56:39, 11.65s/it] 60%|██████ | 6000/10000 [22:56:40<13:10:09, 11.85s/it] 60%|██████ | 6000/10000 [22:56:40<13:10:09, 11.85s/it][INFO|trainer.py:2955] 2022-12-17 14:24:21,128 >> ***** Running Evaluation ***** [INFO|trainer.py:2959] 2022-12-17 14:24:21,128 >> Num examples: Unknown [INFO|trainer.py:2960] 2022-12-17 14:24:21,128 >> Batch size = 32 [INFO|trainer_utils.py:689] 2022-12-17 14:24:23,602 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length, speaker_id, duration, gender, age. If input_length, speaker_id, duration, gender, age are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. 60%|██████ | 6000/10000 [23:09:24<13:10:09, 11.85s/it][INFO|trainer.py:2700] 2022-12-17 14:37:05,087 >> Saving model checkpoint to ./checkpoint-6000 [INFO|configuration_utils.py:447] 2022-12-17 14:37:05,087 >> Configuration saved in ./checkpoint-6000/config.json [INFO|modeling_utils.py:1680] 2022-12-17 14:37:07,660 >> Model weights saved in ./checkpoint-6000/pytorch_model.bin [INFO|feature_extraction_utils.py:368] 2022-12-17 14:37:07,675 >> Feature extractor saved in ./checkpoint-6000/preprocessor_config.json [INFO|feature_extraction_utils.py:368] 2022-12-17 14:37:17,828 >> Feature extractor saved in ./preprocessor_config.json